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Present Your Data Like a Pro

• Joel Schwartzberg

Demystify the numbers. Your audience will thank you.

While a good presentation has data, data alone doesn’t guarantee a good presentation. It’s all about how that data is presented. The quickest way to confuse your audience is by sharing too many details at once. The only data points you should share are those that significantly support your point — and ideally, one point per chart. To avoid the debacle of sheepishly translating hard-to-see numbers and labels, rehearse your presentation with colleagues sitting as far away as the actual audience would. While you’ve been working with the same chart for weeks or months, your audience will be exposed to it for mere seconds. Give them the best chance of comprehending your data by using simple, clear, and complete language to identify X and Y axes, pie pieces, bars, and other diagrammatic elements. Try to avoid abbreviations that aren’t obvious, and don’t assume labeled components on one slide will be remembered on subsequent slides. Every valuable chart or pie graph has an “Aha!” zone — a number or range of data that reveals something crucial to your point. Make sure you visually highlight the “Aha!” zone, reinforcing the moment by explaining it to your audience.

With so many ways to spin and distort information these days, a presentation needs to do more than simply share great ideas — it needs to support those ideas with credible data. That’s true whether you’re an executive pitching new business clients, a vendor selling her services, or a CEO making a case for change.

• JS Joel Schwartzberg oversees executive communications for a major national nonprofit, is a professional presentation coach, and is the author of Get to the Point! Sharpen Your Message and Make Your Words Matter and The Language of Leadership: How to Engage and Inspire Your Team . You can find him on LinkedIn and X. TheJoelTruth

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• Presentations

How to Present Data & Numbers in Presentations (Like a Pro)

Data is more important than ever. But do you know how to present data? Your audience needs information in a way that's easy-to-follow. With charts and graphs, data comes to life.

In this tutorial, you'll learn how to present data. The intuitive presentation of data and information is essential so that your point comes across. With our tips, we'll help you take flat data tables and convert them to useful and explanatory charts.

Why Present Data and Numbers With Charts?

Often, you’ll find yourself presenting data in PowerPoint. It’s a useful tool to illustrate data and bring numbers to life. But if you go about it the wrong way, you’ll distract and confuse your audience. Remember, the goal of sharing data is to deliver insights.

When you think of how to present data, you've got several options. Words alone should be an automatic no-no. Clustering numerical data in text paragraphs will confuse an audience. Similarly, tables don’t go far enough.

Consider the example below. While this approach may work for a simple dataset, it’s hard to capture value insights at a glance. Keep in mind, you want a viewer to quickly grasp the fundamental meaning of the data instantly.

That’s why your best option is to present data and numbers with charts. These are two related ways to present data that take a truly visual approach. Charts and graphs are forms of infographics. An infographic is a visual illustration meant to show ideas. They look great, they're easy to read, and they work.

Recent research vividly shows their effectiveness. Infographics are read at a rate of 30:1 over text articles. Pair this with the fact that visual information represents 90% of what transmits to a reader’s brain . Clearly, these are tools to keep in your wheelhouse.

As you can see below, the table data above transforms from a complex table to a clear and concise visual. It’s the identical range of data! The magic happens in the display of it. Charts are the key to success in the presentation of data and information.

How to Present Data and Numbers in Presentations

We’ve learned that the best way to present data is with charts. Now that you’re armed with this knowledge, you've got many options to choose from.

Premium PowerPoint data presentation templates are your best friend. These take the hard work out of building and sharing data charts. They teach you how to present data in presentations with pre-built options. All you need is your dataset!

For our walkthrough tutorial, we’ll use the Chart Presentation template from Envato Elements. It’s a premium option with 24 custom slide designs inside. Each is easy to customize to meet your data presentation needs.

With the template downloaded and opened in PowerPoint, let’s get to work learning how to present data. Follow the principles below, and you’ll be ready to get started!

1. Assess Your Data

Charts come in all shapes and sizes. There are pie charts, column charts, line charts, and many more. All have many uses, but each is targeted towards different types of data. First, you’ll want to assess the data that you have, and how it would best be presented visually. Let’s work with a sample dataset like the one below.

As you can see, the data has several rows, each representing a different country. Beside these are three columns, each covering sales for a given year. In short, you’re looking at three years of sales forecasts for five countries.

Reading over the data, it’s tough to instantly gain any insights. Sure, if you look long enough, trends start to emerge. But this is a slow, manual process. And imagine if there were fifty countries and twelve years, for example!

Manual analysis would become nearly impossible in a presentation setting. But by using a chart, you can instantly illustrate trends and forecasts. Any viewer – even an untrained eye – can readily see all key points with a moment’s glance.

2. Choose a Visual

Now that you’ve analyzed your data, you can easily see that a chart is essential. But what kind? We briefly mentioned three styles of charts. When you think of how to present data in presentation form, the trick is to choose the style that best fits your data.

For our example, we’re looking at multiple data points for several categories. Here, these data points are three sales values, for five countries each. Keep these ideas for how to present numbers in mind:

• A logical visual would group each country together.
• Then, show each of the three sales figures side by side.
• You could also reverse it – group the years and show sales for all five countries.

In a case like this, a column chart is the ideal choice. These group data just as described.

But when might a different chart type be useful? Imagine if your data included details about Germany’s 2024 sales, for example. Suppose you’re presenting to your marketing team, and they’ve asked how sales of each individual product make up the total. Here, a pie chart would be the perfect option. These show how individual pieces form a whole.

But in this case, we’ve decided on a column chart. Find one in the deck, and let’s insert it. In our template, slide #15 contains a beautiful chart. It’s already built. All you need to do is add your own data.

To do that, click into the chart area, then right-click. From the menu, choose Edit Data. You’ll see an embedded Microsoft Excel spreadsheet launch right inside of PowerPoint. From here, you can simply replace the existing data with the table you already have. As you work, the chart instantly updates itself to match the new data.

In moments, you’ll be presenting data in PowerPoint with this beautiful chart!

3. Style Your Visual

With your chart placed on the slide, you now have an array of design options. Remember, the goal is to make the chart work perfectly for your own data. These options primarily live on the Chart Design menu, which you can find on PowerPoint’s ribbon. With the chart selected, click on Chart Design.

The template has a beautiful color palette, but you can add your own. It helps to choose a color profile with plenty of contrast. This makes your visual even clearer and easier to read.

To add a new palette, click on the Change Colors drop-down menu. You’ll see an array of color swatches display. Click on one, and it'll apply to your chart.

You can add a new background by launching the Chart Styles section in the center of the Chart Design menu. For example, you can choose one with a gray background to make the colors really stand out on the slide.

Also, it’s possible to add more context to the data. The horizontal axis in our example is clear enough, listing countries. But there isn’t any explanation of what the vertical axis represents, or the colorful bars. Follow these steps:

• Open the Add Chart Element dropdown near the upper left of the ribbon.
• Click  Axis Titles.
• Choose Primary Vertical.
• You’ll see Axis Title appear on the chart. This is a text box, which you can select and type into.

Finally, back on the Add Chart Element dropdown, choose Legend , and pick a location like Top . Three colorful squares listing the three years shown in the chart will be added to the drawing. These labels aid in the presentation of data and information.

It’s easy to see how to present numbers in chart form, using PowerPoint. Start with a premium template like this, and then customize the chart inside to fit your needs.

4. Add Notes Where Needed

You now know well that charts are the best way to present data. But they don’t have to stand on their own!

Often, it’s useful to add more context. Audiences may understand the data perfectly but have questions. For example: Why are sales for one country climbing, while they are falling in another?

By adding notes where needed, you can add supporting details. It’s best to keep these off of the chart itself. If you clutter up your visual, the value of it diminishes rapidly. Check out an improved example below.

On our slide example, the paragraph section on the left may become a series of quick bullet points. These add supporting details that more fully explain the data shown in the chart.

Again, you may not always need to do this. But never think that a chart must be all-encompassing, explaining every piece of information by itself. The trick is to boost understanding, while remaining clear and concise.

5. Consider an Appendix

You may have extra details that you need to include in your slides.

In our example, imagine that you've got three sales offices in each of the five countries featured. Each of the fifteen makes up a certain percentage of overall sales. This may be key data for your audience, but it would complicate the visual that you just created.

Here, it’s a good idea to add an appendix. An appendix (often at the end of your slide deck) includes more detailed data. You might not review it with a live audience, but they can look at it later in a handout or digital format.

To add an appendix, go to the end of your presentation, and click New Slide on the Home tab. Here, it might be appropriate to share the detailed data in the form of a table. Or, you can add a pie chart, suitable for this style of dataset.

To add a chart from scratch, go to the Insert tab, then choose Chart > Pie. The embedded Excel window will return, and again, you can insert your data.

An appendix may not always be necessary. But you should include one (or more) if you've got meaningful data that you aren’t placing into the main slide deck.

The Best Source for Data Presentation Templates (With Unlimited Downloads)

Envato Elements is the best place to find top data presentation templates . For a low monthly rate, you've got access to unlimited downloads of PPT chart templates. You can try as many as you want, finding those that work best for you.

Explore PowerPoint Chart Templates

And that isn’t all. As an Elements member, you also have unlimited access to stock photos, music, fonts, and more. These are digital assets that pair perfectly with your data presentation.

Elements is an unbeatable offer because of the unlimited flexibility. With premium templates, you gain access to powerful features not found in free designs:

• beautiful data visuals that are pre-built and ready to customize
• stylish, custom fonts to help text stand out
• media placeholders to add supporting images and videos
• fully flexible layouts that adapt to your data and other content

The advantages are many. You save hard work, by leaving the slide design tasks to experts. This gives you the time needed to refine your message. Plus, the finished product will wow any audience, thanks to the expertly-crafted graphics . Truly, Envato Elements is the best value for creatives today.

Need a template, but don't want an unlimited subscription? We've got you covered with templates from GraphicRiver . You'll pay-as-you-go, and these templates give you everything you need. They've got pre-made designs for the best way to present data with less work than ever before.

Now Practice the Best Way to Present Data in Presentations

You just learned new ways to present data. Essentially, you saw how to present data in presentations so that your audience  can understand it. Great presenters think of the audience first. They'll thank you for your thoughtful work in how to present numbers and more.

Now, it's your turn! Put these tips on how to present data in presentations to work. Take a flat table in a presentation and convert it with our tips for presenting data in PowerPoint. Just download a template and get started. 

Home Blog Design Understanding Data Presentations (Guide + Examples)

Understanding Data Presentations (Guide + Examples)

In this age of overwhelming information, the skill to effectively convey data has become extremely valuable. Initiating a discussion on data presentation types involves thoughtful consideration of the nature of your data and the message you aim to convey. Different types of visualizations serve distinct purposes. Whether you’re dealing with how to develop a report or simply trying to communicate complex information, how you present data influences how well your audience understands and engages with it. This extensive guide leads you through the different ways of data presentation.

Table of Contents

What is a Data Presentation?

What should a data presentation include, line graphs, treemap chart, scatter plot, how to choose a data presentation type, recommended data presentation templates, common mistakes done in data presentation.

A data presentation is a slide deck that aims to disclose quantitative information to an audience through the use of visual formats and narrative techniques derived from data analysis, making complex data understandable and actionable. This process requires a series of tools, such as charts, graphs, tables, infographics, dashboards, and so on, supported by concise textual explanations to improve understanding and boost retention rate.

Data presentations require us to cull data in a format that allows the presenter to highlight trends, patterns, and insights so that the audience can act upon the shared information. In a few words, the goal of data presentations is to enable viewers to grasp complicated concepts or trends quickly, facilitating informed decision-making or deeper analysis.

Data presentations go beyond the mere usage of graphical elements. Seasoned presenters encompass visuals with the art of data storytelling , so the speech skillfully connects the points through a narrative that resonates with the audience. Depending on the purpose – inspire, persuade, inform, support decision-making processes, etc. – is the data presentation format that is better suited to help us in this journey.

To nail your upcoming data presentation, ensure to count with the following elements:

• Clear Objectives: Understand the intent of your presentation before selecting the graphical layout and metaphors to make content easier to grasp.
• Engaging introduction: Use a powerful hook from the get-go. For instance, you can ask a big question or present a problem that your data will answer. Take a look at our guide on how to start a presentation for tips & insights.
• Structured Narrative: Your data presentation must tell a coherent story. This means a beginning where you present the context, a middle section in which you present the data, and an ending that uses a call-to-action. Check our guide on presentation structure for further information.
• Visual Elements: These are the charts, graphs, and other elements of visual communication we ought to use to present data. This article will cover one by one the different types of data representation methods we can use, and provide further guidance on choosing between them.
• Insights and Analysis: This is not just showcasing a graph and letting people get an idea about it. A proper data presentation includes the interpretation of that data, the reason why it’s included, and why it matters to your research.
• Conclusion & CTA: Ending your presentation with a call to action is necessary. Whether you intend to wow your audience into acquiring your services, inspire them to change the world, or whatever the purpose of your presentation, there must be a stage in which you convey all that you shared and show the path to staying in touch. Plan ahead whether you want to use a thank-you slide, a video presentation, or which method is apt and tailored to the kind of presentation you deliver.
• Q&A Session: After your speech is concluded, allocate 3-5 minutes for the audience to raise any questions about the information you disclosed. This is an extra chance to establish your authority on the topic. Check our guide on questions and answer sessions in presentations here.

Bar charts are a graphical representation of data using rectangular bars to show quantities or frequencies in an established category. They make it easy for readers to spot patterns or trends. Bar charts can be horizontal or vertical, although the vertical format is commonly known as a column chart. They display categorical, discrete, or continuous variables grouped in class intervals [1] . They include an axis and a set of labeled bars horizontally or vertically. These bars represent the frequencies of variable values or the values themselves. Numbers on the y-axis of a vertical bar chart or the x-axis of a horizontal bar chart are called the scale.

Real-Life Application of Bar Charts

Let’s say a sales manager is presenting sales to their audience. Using a bar chart, he follows these steps.

Step 1: Selecting Data

The first step is to identify the specific data you will present to your audience.

The sales manager has highlighted these products for the presentation.

• Product A: Men’s Shoes
• Product B: Women’s Apparel
• Product C: Electronics
• Product D: Home Decor

Step 2: Choosing Orientation

Opt for a vertical layout for simplicity. Vertical bar charts help compare different categories in case there are not too many categories [1] . They can also help show different trends. A vertical bar chart is used where each bar represents one of the four chosen products. After plotting the data, it is seen that the height of each bar directly represents the sales performance of the respective product.

It is visible that the tallest bar (Electronics – Product C) is showing the highest sales. However, the shorter bars (Women’s Apparel – Product B and Home Decor – Product D) need attention. It indicates areas that require further analysis or strategies for improvement.

Step 3: Colorful Insights

Different colors are used to differentiate each product. It is essential to show a color-coded chart where the audience can distinguish between products.

• Men’s Shoes (Product A): Yellow
• Women’s Apparel (Product B): Orange
• Electronics (Product C): Violet
• Home Decor (Product D): Blue

Bar charts are straightforward and easily understandable for presenting data. They are versatile when comparing products or any categorical data [2] . Bar charts adapt seamlessly to retail scenarios. Despite that, bar charts have a few shortcomings. They cannot illustrate data trends over time. Besides, overloading the chart with numerous products can lead to visual clutter, diminishing its effectiveness.

For more information, check our collection of bar chart templates for PowerPoint .

Line graphs help illustrate data trends, progressions, or fluctuations by connecting a series of data points called ‘markers’ with straight line segments. This provides a straightforward representation of how values change [5] . Their versatility makes them invaluable for scenarios requiring a visual understanding of continuous data. In addition, line graphs are also useful for comparing multiple datasets over the same timeline. Using multiple line graphs allows us to compare more than one data set. They simplify complex information so the audience can quickly grasp the ups and downs of values. From tracking stock prices to analyzing experimental results, you can use line graphs to show how data changes over a continuous timeline. They show trends with simplicity and clarity.

Real-life Application of Line Graphs

To understand line graphs thoroughly, we will use a real case. Imagine you’re a financial analyst presenting a tech company’s monthly sales for a licensed product over the past year. Investors want insights into sales behavior by month, how market trends may have influenced sales performance and reception to the new pricing strategy. To present data via a line graph, you will complete these steps.

First, you need to gather the data. In this case, your data will be the sales numbers. For example:

• January: $45,000
• February: $55,000
• March: $45,000
• April: $60,000
• May: $ 70,000
• June: $65,000
• July: $62,000
• August: $68,000
• September: $81,000
• October: $76,000
• November: $87,000
• December: $91,000

After choosing the data, the next step is to select the orientation. Like bar charts, you can use vertical or horizontal line graphs. However, we want to keep this simple, so we will keep the timeline (x-axis) horizontal while the sales numbers (y-axis) vertical.

Step 3: Connecting Trends

After adding the data to your preferred software, you will plot a line graph. In the graph, each month’s sales are represented by data points connected by a line.

Step 4: Adding Clarity with Color

If there are multiple lines, you can also add colors to highlight each one, making it easier to follow.

Line graphs excel at visually presenting trends over time. These presentation aids identify patterns, like upward or downward trends. However, too many data points can clutter the graph, making it harder to interpret. Line graphs work best with continuous data but are not suitable for categories.

For more information, check our collection of line chart templates for PowerPoint and our article about how to make a presentation graph .

A data dashboard is a visual tool for analyzing information. Different graphs, charts, and tables are consolidated in a layout to showcase the information required to achieve one or more objectives. Dashboards help quickly see Key Performance Indicators (KPIs). You don’t make new visuals in the dashboard; instead, you use it to display visuals you’ve already made in worksheets [3] .

Keeping the number of visuals on a dashboard to three or four is recommended. Adding too many can make it hard to see the main points [4]. Dashboards can be used for business analytics to analyze sales, revenue, and marketing metrics at a time. They are also used in the manufacturing industry, as they allow users to grasp the entire production scenario at the moment while tracking the core KPIs for each line.

Real-Life Application of a Dashboard

Consider a project manager presenting a software development project’s progress to a tech company’s leadership team. He follows the following steps.

Step 1: Defining Key Metrics

To effectively communicate the project’s status, identify key metrics such as completion status, budget, and bug resolution rates. Then, choose measurable metrics aligned with project objectives.

Step 2: Choosing Visualization Widgets

After finalizing the data, presentation aids that align with each metric are selected. For this project, the project manager chooses a progress bar for the completion status and uses bar charts for budget allocation. Likewise, he implements line charts for bug resolution rates.

Step 3: Dashboard Layout

Key metrics are prominently placed in the dashboard for easy visibility, and the manager ensures that it appears clean and organized.

Dashboards provide a comprehensive view of key project metrics. Users can interact with data, customize views, and drill down for detailed analysis. However, creating an effective dashboard requires careful planning to avoid clutter. Besides, dashboards rely on the availability and accuracy of underlying data sources.

For more information, check our article on how to design a dashboard presentation , and discover our collection of dashboard PowerPoint templates .

Treemap charts represent hierarchical data structured in a series of nested rectangles [6] . As each branch of the ‘tree’ is given a rectangle, smaller tiles can be seen representing sub-branches, meaning elements on a lower hierarchical level than the parent rectangle. Each one of those rectangular nodes is built by representing an area proportional to the specified data dimension.

Treemaps are useful for visualizing large datasets in compact space. It is easy to identify patterns, such as which categories are dominant. Common applications of the treemap chart are seen in the IT industry, such as resource allocation, disk space management, website analytics, etc. Also, they can be used in multiple industries like healthcare data analysis, market share across different product categories, or even in finance to visualize portfolios.

Real-Life Application of a Treemap Chart

Let’s consider a financial scenario where a financial team wants to represent the budget allocation of a company. There is a hierarchy in the process, so it is helpful to use a treemap chart. In the chart, the top-level rectangle could represent the total budget, and it would be subdivided into smaller rectangles, each denoting a specific department. Further subdivisions within these smaller rectangles might represent individual projects or cost categories.

Step 1: Define Your Data Hierarchy

While presenting data on the budget allocation, start by outlining the hierarchical structure. The sequence will be like the overall budget at the top, followed by departments, projects within each department, and finally, individual cost categories for each project.

• Top-level rectangle: Total Budget
• Second-level rectangles: Departments (Engineering, Marketing, Sales)
• Third-level rectangles: Projects within each department
• Fourth-level rectangles: Cost categories for each project (Personnel, Marketing Expenses, Equipment)

Step 2: Choose a Suitable Tool

It’s time to select a data visualization tool supporting Treemaps. Popular choices include Tableau, Microsoft Power BI, PowerPoint, or even coding with libraries like D3.js. It is vital to ensure that the chosen tool provides customization options for colors, labels, and hierarchical structures.

Here, the team uses PowerPoint for this guide because of its user-friendly interface and robust Treemap capabilities.

Step 3: Make a Treemap Chart with PowerPoint

After opening the PowerPoint presentation, they chose “SmartArt” to form the chart. The SmartArt Graphic window has a “Hierarchy” category on the left.  Here, you will see multiple options. You can choose any layout that resembles a Treemap. The “Table Hierarchy” or “Organization Chart” options can be adapted. The team selects the Table Hierarchy as it looks close to a Treemap.

Step 5: Input Your Data

After that, a new window will open with a basic structure. They add the data one by one by clicking on the text boxes. They start with the top-level rectangle, representing the total budget.  

Step 6: Customize the Treemap

By clicking on each shape, they customize its color, size, and label. At the same time, they can adjust the font size, style, and color of labels by using the options in the “Format” tab in PowerPoint. Using different colors for each level enhances the visual difference.

Treemaps excel at illustrating hierarchical structures. These charts make it easy to understand relationships and dependencies. They efficiently use space, compactly displaying a large amount of data, reducing the need for excessive scrolling or navigation. Additionally, using colors enhances the understanding of data by representing different variables or categories.

In some cases, treemaps might become complex, especially with deep hierarchies.  It becomes challenging for some users to interpret the chart. At the same time, displaying detailed information within each rectangle might be constrained by space. It potentially limits the amount of data that can be shown clearly. Without proper labeling and color coding, there’s a risk of misinterpretation.

A heatmap is a data visualization tool that uses color coding to represent values across a two-dimensional surface. In these, colors replace numbers to indicate the magnitude of each cell. This color-shaded matrix display is valuable for summarizing and understanding data sets with a glance [7] . The intensity of the color corresponds to the value it represents, making it easy to identify patterns, trends, and variations in the data.

As a tool, heatmaps help businesses analyze website interactions, revealing user behavior patterns and preferences to enhance overall user experience. In addition, companies use heatmaps to assess content engagement, identifying popular sections and areas of improvement for more effective communication. They excel at highlighting patterns and trends in large datasets, making it easy to identify areas of interest.

We can implement heatmaps to express multiple data types, such as numerical values, percentages, or even categorical data. Heatmaps help us easily spot areas with lots of activity, making them helpful in figuring out clusters [8] . When making these maps, it is important to pick colors carefully. The colors need to show the differences between groups or levels of something. And it is good to use colors that people with colorblindness can easily see.

Check our detailed guide on how to create a heatmap here. Also discover our collection of heatmap PowerPoint templates .

Pie charts are circular statistical graphics divided into slices to illustrate numerical proportions. Each slice represents a proportionate part of the whole, making it easy to visualize the contribution of each component to the total.

The size of the pie charts is influenced by the value of data points within each pie. The total of all data points in a pie determines its size. The pie with the highest data points appears as the largest, whereas the others are proportionally smaller. However, you can present all pies of the same size if proportional representation is not required [9] . Sometimes, pie charts are difficult to read, or additional information is required. A variation of this tool can be used instead, known as the donut chart , which has the same structure but a blank center, creating a ring shape. Presenters can add extra information, and the ring shape helps to declutter the graph.

Pie charts are used in business to show percentage distribution, compare relative sizes of categories, or present straightforward data sets where visualizing ratios is essential.

Real-Life Application of Pie Charts

Consider a scenario where you want to represent the distribution of the data. Each slice of the pie chart would represent a different category, and the size of each slice would indicate the percentage of the total portion allocated to that category.

Step 1: Define Your Data Structure

Imagine you are presenting the distribution of a project budget among different expense categories.

• Column A: Expense Categories (Personnel, Equipment, Marketing, Miscellaneous)
• Column B: Budget Amounts ($40,000, $30,000, $20,000, $10,000) Column B represents the values of your categories in Column A.

Step 2: Insert a Pie Chart

Using any of the accessible tools, you can create a pie chart. The most convenient tools for forming a pie chart in a presentation are presentation tools such as PowerPoint or Google Slides.  You will notice that the pie chart assigns each expense category a percentage of the total budget by dividing it by the total budget.

For instance:

• Personnel: $40,000 / ($40,000 + $30,000 + $20,000 + $10,000) = 40%
• Equipment: $30,000 / ($40,000 + $30,000 + $20,000 + $10,000) = 30%
• Marketing: $20,000 / ($40,000 + $30,000 + $20,000 + $10,000) = 20%
• Miscellaneous: $10,000 / ($40,000 + $30,000 + $20,000 + $10,000) = 10%

You can make a chart out of this or just pull out the pie chart from the data.

3D pie charts and 3D donut charts are quite popular among the audience. They stand out as visual elements in any presentation slide, so let’s take a look at how our pie chart example would look in 3D pie chart format.

Step 03: Results Interpretation

The pie chart visually illustrates the distribution of the project budget among different expense categories. Personnel constitutes the largest portion at 40%, followed by equipment at 30%, marketing at 20%, and miscellaneous at 10%. This breakdown provides a clear overview of where the project funds are allocated, which helps in informed decision-making and resource management. It is evident that personnel are a significant investment, emphasizing their importance in the overall project budget.

Pie charts provide a straightforward way to represent proportions and percentages. They are easy to understand, even for individuals with limited data analysis experience. These charts work well for small datasets with a limited number of categories.

However, a pie chart can become cluttered and less effective in situations with many categories. Accurate interpretation may be challenging, especially when dealing with slight differences in slice sizes. In addition, these charts are static and do not effectively convey trends over time.

For more information, check our collection of pie chart templates for PowerPoint .

Histograms present the distribution of numerical variables. Unlike a bar chart that records each unique response separately, histograms organize numeric responses into bins and show the frequency of reactions within each bin [10] . The x-axis of a histogram shows the range of values for a numeric variable. At the same time, the y-axis indicates the relative frequencies (percentage of the total counts) for that range of values.

Whenever you want to understand the distribution of your data, check which values are more common, or identify outliers, histograms are your go-to. Think of them as a spotlight on the story your data is telling. A histogram can provide a quick and insightful overview if you’re curious about exam scores, sales figures, or any numerical data distribution.

Real-Life Application of a Histogram

In the histogram data analysis presentation example, imagine an instructor analyzing a class’s grades to identify the most common score range. A histogram could effectively display the distribution. It will show whether most students scored in the average range or if there are significant outliers.

Step 1: Gather Data

He begins by gathering the data. The scores of each student in class are gathered to analyze exam scores.

After arranging the scores in ascending order, bin ranges are set.

Step 2: Define Bins

Bins are like categories that group similar values. Think of them as buckets that organize your data. The presenter decides how wide each bin should be based on the range of the values. For instance, the instructor sets the bin ranges based on score intervals: 60-69, 70-79, 80-89, and 90-100.

Step 3: Count Frequency

Now, he counts how many data points fall into each bin. This step is crucial because it tells you how often specific ranges of values occur. The result is the frequency distribution, showing the occurrences of each group.

Here, the instructor counts the number of students in each category.

• 60-69: 1 student (Kate)
• 70-79: 4 students (David, Emma, Grace, Jack)
• 80-89: 7 students (Alice, Bob, Frank, Isabel, Liam, Mia, Noah)
• 90-100: 3 students (Clara, Henry, Olivia)

Step 4: Create the Histogram

It’s time to turn the data into a visual representation. Draw a bar for each bin on a graph. The width of the bar should correspond to the range of the bin, and the height should correspond to the frequency.  To make your histogram understandable, label the X and Y axes.

In this case, the X-axis should represent the bins (e.g., test score ranges), and the Y-axis represents the frequency.

The histogram of the class grades reveals insightful patterns in the distribution. Most students, with seven students, fall within the 80-89 score range. The histogram provides a clear visualization of the class’s performance. It showcases a concentration of grades in the upper-middle range with few outliers at both ends. This analysis helps in understanding the overall academic standing of the class. It also identifies the areas for potential improvement or recognition.

Thus, histograms provide a clear visual representation of data distribution. They are easy to interpret, even for those without a statistical background. They apply to various types of data, including continuous and discrete variables. One weak point is that histograms do not capture detailed patterns in students’ data, with seven compared to other visualization methods.

A scatter plot is a graphical representation of the relationship between two variables. It consists of individual data points on a two-dimensional plane. This plane plots one variable on the x-axis and the other on the y-axis. Each point represents a unique observation. It visualizes patterns, trends, or correlations between the two variables.

Scatter plots are also effective in revealing the strength and direction of relationships. They identify outliers and assess the overall distribution of data points. The points’ dispersion and clustering reflect the relationship’s nature, whether it is positive, negative, or lacks a discernible pattern. In business, scatter plots assess relationships between variables such as marketing cost and sales revenue. They help present data correlations and decision-making.

Real-Life Application of Scatter Plot

A group of scientists is conducting a study on the relationship between daily hours of screen time and sleep quality. After reviewing the data, they managed to create this table to help them build a scatter plot graph:

In the provided example, the x-axis represents Daily Hours of Screen Time, and the y-axis represents the Sleep Quality Rating.

The scientists observe a negative correlation between the amount of screen time and the quality of sleep. This is consistent with their hypothesis that blue light, especially before bedtime, has a significant impact on sleep quality and metabolic processes.

There are a few things to remember when using a scatter plot. Even when a scatter diagram indicates a relationship, it doesn’t mean one variable affects the other. A third factor can influence both variables. The more the plot resembles a straight line, the stronger the relationship is perceived [11] . If it suggests no ties, the observed pattern might be due to random fluctuations in data. When the scatter diagram depicts no correlation, whether the data might be stratified is worth considering.

Choosing the appropriate data presentation type is crucial when making a presentation . Understanding the nature of your data and the message you intend to convey will guide this selection process. For instance, when showcasing quantitative relationships, scatter plots become instrumental in revealing correlations between variables. If the focus is on emphasizing parts of a whole, pie charts offer a concise display of proportions. Histograms, on the other hand, prove valuable for illustrating distributions and frequency patterns. 

Bar charts provide a clear visual comparison of different categories. Likewise, line charts excel in showcasing trends over time, while tables are ideal for detailed data examination. Starting a presentation on data presentation types involves evaluating the specific information you want to communicate and selecting the format that aligns with your message. This ensures clarity and resonance with your audience from the beginning of your presentation.

1. Fact Sheet Dashboard for Data Presentation

Convey all the data you need to present in this one-pager format, an ideal solution tailored for users looking for presentation aids. Global maps, donut chats, column graphs, and text neatly arranged in a clean layout presented in light and dark themes.

Use This Template

2. 3D Column Chart Infographic PPT Template

Represent column charts in a highly visual 3D format with this PPT template. A creative way to present data, this template is entirely editable, and we can craft either a one-page infographic or a series of slides explaining what we intend to disclose point by point.

3. Data Circles Infographic PowerPoint Template

An alternative to the pie chart and donut chart diagrams, this template features a series of curved shapes with bubble callouts as ways of presenting data. Expand the information for each arch in the text placeholder areas.

4. Colorful Metrics Dashboard for Data Presentation

This versatile dashboard template helps us in the presentation of the data by offering several graphs and methods to convert numbers into graphics. Implement it for e-commerce projects, financial projections, project development, and more.

5. Animated Data Presentation Tools for PowerPoint & Google Slides

A slide deck filled with most of the tools mentioned in this article, from bar charts, column charts, treemap graphs, pie charts, histogram, etc. Animated effects make each slide look dynamic when sharing data with stakeholders.

6. Statistics Waffle Charts PPT Template for Data Presentations

This PPT template helps us how to present data beyond the typical pie chart representation. It is widely used for demographics, so it’s a great fit for marketing teams, data science professionals, HR personnel, and more.

7. Data Presentation Dashboard Template for Google Slides

A compendium of tools in dashboard format featuring line graphs, bar charts, column charts, and neatly arranged placeholder text areas. 

8. Weather Dashboard for Data Presentation

Share weather data for agricultural presentation topics, environmental studies, or any kind of presentation that requires a highly visual layout for weather forecasting on a single day. Two color themes are available.

9. Social Media Marketing Dashboard Data Presentation Template

Intended for marketing professionals, this dashboard template for data presentation is a tool for presenting data analytics from social media channels. Two slide layouts featuring line graphs and column charts.

10. Project Management Summary Dashboard Template

A tool crafted for project managers to deliver highly visual reports on a project’s completion, the profits it delivered for the company, and expenses/time required to execute it. 4 different color layouts are available.

11. Profit & Loss Dashboard for PowerPoint and Google Slides

A must-have for finance professionals. This typical profit & loss dashboard includes progress bars, donut charts, column charts, line graphs, and everything that’s required to deliver a comprehensive report about a company’s financial situation.

Overwhelming visuals

One of the mistakes related to using data-presenting methods is including too much data or using overly complex visualizations. They can confuse the audience and dilute the key message.

Inappropriate chart types

Choosing the wrong type of chart for the data at hand can lead to misinterpretation. For example, using a pie chart for data that doesn’t represent parts of a whole is not right.

Lack of context

Failing to provide context or sufficient labeling can make it challenging for the audience to understand the significance of the presented data.

Inconsistency in design

Using inconsistent design elements and color schemes across different visualizations can create confusion and visual disarray.

Failure to provide details

Simply presenting raw data without offering clear insights or takeaways can leave the audience without a meaningful conclusion.

Lack of focus

Not having a clear focus on the key message or main takeaway can result in a presentation that lacks a central theme.

Visual accessibility issues

Overlooking the visual accessibility of charts and graphs can exclude certain audience members who may have difficulty interpreting visual information.

In order to avoid these mistakes in data presentation, presenters can benefit from using presentation templates . These templates provide a structured framework. They ensure consistency, clarity, and an aesthetically pleasing design, enhancing data communication’s overall impact.

Understanding and choosing data presentation types are pivotal in effective communication. Each method serves a unique purpose, so selecting the appropriate one depends on the nature of the data and the message to be conveyed. The diverse array of presentation types offers versatility in visually representing information, from bar charts showing values to pie charts illustrating proportions. 

Using the proper method enhances clarity, engages the audience, and ensures that data sets are not just presented but comprehensively understood. By appreciating the strengths and limitations of different presentation types, communicators can tailor their approach to convey information accurately, developing a deeper connection between data and audience understanding.

[1] Government of Canada, S.C. (2021) 5 Data Visualization 5.2 Bar Chart , 5.2 Bar chart .  https://www150.statcan.gc.ca/n1/edu/power-pouvoir/ch9/bargraph-diagrammeabarres/5214818-eng.htm

[2] Kosslyn, S.M., 1989. Understanding charts and graphs. Applied cognitive psychology, 3(3), pp.185-225. https://apps.dtic.mil/sti/pdfs/ADA183409.pdf

[3] Creating a Dashboard . https://it.tufts.edu/book/export/html/1870

[4] https://www.goldenwestcollege.edu/research/data-and-more/data-dashboards/index.html

[5] https://www.mit.edu/course/21/21.guide/grf-line.htm

[6] Jadeja, M. and Shah, K., 2015, January. Tree-Map: A Visualization Tool for Large Data. In GSB@ SIGIR (pp. 9-13). https://ceur-ws.org/Vol-1393/gsb15proceedings.pdf#page=15

[7] Heat Maps and Quilt Plots. https://www.publichealth.columbia.edu/research/population-health-methods/heat-maps-and-quilt-plots

[8] EIU QGIS WORKSHOP. https://www.eiu.edu/qgisworkshop/heatmaps.php

[9] About Pie Charts.  https://www.mit.edu/~mbarker/formula1/f1help/11-ch-c8.htm

[10] Histograms. https://sites.utexas.edu/sos/guided/descriptive/numericaldd/descriptiven2/histogram/ [11] https://asq.org/quality-resources/scatter-diagram

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10 Methods of Data Presentation That Really Work in 2024

Leah Nguyen • 20 August, 2024 • 13 min read

Have you ever presented a data report to your boss/coworkers/teachers thinking it was super dope like you’re some cyber hacker living in the Matrix, but all they saw was a pile of static numbers that seemed pointless and didn't make sense to them?

Understanding digits is rigid . Making people from non-analytical backgrounds understand those digits is even more challenging.

How can you clear up those confusing numbers and make your presentation as clear as the day? Let's check out these best ways to present data. 💎

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Data Presentation - What Is It?

The term ’data presentation’ relates to the way you present data in a way that makes even the most clueless person in the room understand. 

Some say it’s witchcraft (you’re manipulating the numbers in some ways), but we’ll just say it’s the power of turning dry, hard numbers or digits into a visual showcase that is easy for people to digest.

Presenting data correctly can help your audience understand complicated processes, identify trends, and instantly pinpoint whatever is going on without exhausting their brains.

Good data presentation helps…

• Make informed decisions and arrive at positive outcomes . If you see the sales of your product steadily increase throughout the years, it’s best to keep milking it or start turning it into a bunch of spin-offs (shoutout to Star Wars👀).
• Reduce the time spent processing data . Humans can digest information graphically 60,000 times faster than in the form of text. Grant them the power of skimming through a decade of data in minutes with some extra spicy graphs and charts.
• Communicate the results clearly . Data does not lie. They’re based on factual evidence and therefore if anyone keeps whining that you might be wrong, slap them with some hard data to keep their mouths shut.
• Add to or expand the current research . You can see what areas need improvement, as well as what details often go unnoticed while surfing through those little lines, dots or icons that appear on the data board.

Methods of Data Presentation and Examples

Imagine you have a delicious pepperoni, extra-cheese pizza. You can decide to cut it into the classic 8 triangle slices, the party style 12 square slices, or get creative and abstract on those slices. 

There are various ways to cut a pizza and you get the same variety with how you present your data. In this section, we will bring you the 10 ways to slice a pizza - we mean to present your data - that will make your company’s most important asset as clear as day. Let's dive into 10 ways to present data efficiently.

#1 - Tabular 

Among various types of data presentation, tabular is the most fundamental method, with data presented in rows and columns. Excel or Google Sheets would qualify for the job. Nothing fancy.

This is an example of a tabular presentation of data on Google Sheets. Each row and column has an attribute (year, region, revenue, etc.), and you can do a custom format to see the change in revenue throughout the year.

When presenting data as text, all you do is write your findings down in paragraphs and bullet points, and that’s it. A piece of cake to you, a tough nut to crack for whoever has to go through all of the reading to get to the point.

• 65% of email users worldwide access their email via a mobile device.
• Emails that are optimised for mobile generate 15% higher click-through rates.
• 56% of brands using emojis in their email subject lines had a higher open rate.

(Source: CustomerThermometer )

All the above quotes present statistical information in textual form. Since not many people like going through a wall of texts, you’ll have to figure out another route when deciding to use this method, such as breaking the data down into short, clear statements, or even as catchy puns if you’ve got the time to think of them.

#3 - Pie chart

A pie chart (or a ‘donut chart’ if you stick a hole in the middle of it) is a circle divided into slices that show the relative sizes of data within a whole. If you’re using it to show percentages, make sure all the slices add up to 100%.

The pie chart is a familiar face at every party and is usually recognised by most people. However, one setback of using this method is our eyes sometimes can’t identify the differences in slices of a circle, and it’s nearly impossible to compare similar slices from two different pie charts, making them the villains in the eyes of data analysts.

#4 - Bar chart

The bar chart is a chart that presents a bunch of items from the same category, usually in the form of rectangular bars that are placed at an equal distance from each other. Their heights or lengths depict the values they represent.

They can be as simple as this:

Or more complex and detailed like this example of data presentation. Contributing to an effective statistic presentation, this one is a grouped bar chart that not only allows you to compare categories but also the groups within them as well.

#5 - Histogram

Similar in appearance to the bar chart but the rectangular bars in histograms don’t often have the gap like their counterparts.

Instead of measuring categories like weather preferences or favourite films as a bar chart does, a histogram only measures things that can be put into numbers.

Teachers can use presentation graphs like a histogram to see which score group most of the students fall into, like in this example above.

#6 - Line graph

Recordings to ways of displaying data, we shouldn't overlook the effectiveness of line graphs. Line graphs are represented by a group of data points joined together by a straight line. There can be one or more lines to compare how several related things change over time. 

On a line chart’s horizontal axis, you usually have text labels, dates or years, while the vertical axis usually represents the quantity (e.g.: budget, temperature or percentage).

#7 - Pictogram graph

A pictogram graph uses pictures or icons relating to the main topic to visualise a small dataset. The fun combination of colours and illustrations makes it a frequent use at schools.

Pictograms are a breath of fresh air if you want to stay away from the monotonous line chart or bar chart for a while. However, they can present a very limited amount of data and sometimes they are only there for displays and do not represent real statistics.

#8 - Radar chart

If presenting five or more variables in the form of a bar chart is too stuffy then you should try using a radar chart, which is one of the most creative ways to present data.

Radar charts show data in terms of how they compare to each other starting from the same point. Some also call them ‘spider charts’ because each aspect combined looks like a spider web.

Radar charts can be a great use for parents who’d like to compare their child’s grades with their peers to lower their self-esteem. You can see that each angular represents a subject with a score value ranging from 0 to 100. Each student’s score across 5 subjects is highlighted in a different colour.

If you think that this method of data presentation somehow feels familiar, then you’ve probably encountered one while playing Pokémon .

#9 - Heat map

A heat map represents data density in colours. The bigger the number, the more colour intensity that data will be represented.

Most US citizens would be familiar with this data presentation method in geography. For elections, many news outlets assign a specific colour code to a state, with blue representing one candidate and red representing the other. The shade of either blue or red in each state shows the strength of the overall vote in that state.

Another great thing you can use a heat map for is to map what visitors to your site click on. The more a particular section is clicked the ‘hotter’ the colour will turn, from blue to bright yellow to red.

#10 - Scatter plot

If you present your data in dots instead of chunky bars, you’ll have a scatter plot. 

A scatter plot is a grid with several inputs showing the relationship between two variables. It’s good at collecting seemingly random data and revealing some telling trends.

For example, in this graph, each dot shows the average daily temperature versus the number of beach visitors across several days. You can see that the dots get higher as the temperature increases, so it’s likely that hotter weather leads to more visitors.

5 Data Presentation Mistakes to Avoid

#1 - assume your audience understands what the numbers represent.

You may know all the behind-the-scenes of your data since you’ve worked with them for weeks, but your audience doesn’t.

Showing without telling only invites more and more questions from your audience, as they have to constantly make sense of your data, wasting the time of both sides as a result.

While showing your data presentations, you should tell them what the data are about before hitting them with waves of numbers first. You can use interactive activities such as polls , word clouds , online quizzes and Q&A sections , combined with icebreaker games , to assess their understanding of the data and address any confusion beforehand.

#2 - Use the wrong type of chart

Charts such as pie charts must have a total of 100% so if your numbers accumulate to 193% like this example below, you’re definitely doing it wrong.

Before making a chart, ask yourself: what do I want to accomplish with my data? Do you want to see the relationship between the data sets, show the up and down trends of your data, or see how segments of one thing make up a whole?

Remember, clarity always comes first. Some data visualisations may look cool, but if they don’t fit your data, steer clear of them. 

#3 - Make it 3D

3D is a fascinating graphical presentation example. The third dimension is cool, but full of risks.

Can you see what’s behind those red bars? Because we can’t either. You may think that 3D charts add more depth to the design, but they can create false perceptions as our eyes see 3D objects closer and bigger than they appear, not to mention they cannot be seen from multiple angles.

#4 - Use different types of charts to compare contents in the same category

This is like comparing a fish to a monkey. Your audience won’t be able to identify the differences and make an appropriate correlation between the two data sets. 

Next time, stick to one type of data presentation only. Avoid the temptation of trying various data visualisation methods in one go and make your data as accessible as possible.

#5 - Bombard the audience with too much information

The goal of data presentation is to make complex topics much easier to understand, and if you’re bringing too much information to the table, you’re missing the point.

The more information you give, the more time it will take for your audience to process it all. If you want to make your data understandable and give your audience a chance to remember it, keep the information within it to an absolute minimum. You should end your session with open-ended questions to see what your participants really think.

What are the Best Methods of Data Presentation?

Finally, which is the best way to present data?

The answer is…

There is none! Each type of presentation has its own strengths and weaknesses and the one you choose greatly depends on what you’re trying to do. 

For example:

• Go for a scatter plot if you’re exploring the relationship between different data values, like seeing whether the sales of ice cream go up because of the temperature or because people are just getting more hungry and greedy each day?
• Go for a line graph if you want to mark a trend over time. 
• Go for a heat map if you like some fancy visualisation of the changes in a geographical location, or to see your visitors' behaviour on your website.
• Go for a pie chart (especially in 3D) if you want to be shunned by others because it was never a good idea👇

Frequently Asked Questions

What is a chart presentation.

A chart presentation is a way of presenting data or information using visual aids such as charts, graphs, and diagrams. The purpose of a chart presentation is to make complex information more accessible and understandable for the audience.

When can I use charts for the presentation?

Charts can be used to compare data, show trends over time, highlight patterns, and simplify complex information.

Why should you use charts for presentation?

You should use charts to ensure your contents and visuals look clean, as they are the visual representative, provide clarity, simplicity, comparison, contrast and super time-saving!

What are the 4 graphical methods of presenting data?

Histogram, Smoothed frequency graph, Pie diagram or Pie chart, Cumulative or ogive frequency graph, and Frequency Polygon.

Leah Nguyen

Words that convert, stories that stick. I turn complex ideas into engaging narratives - helping audiences learn, remember, and take action.

Tips to Engage with Polls & Trivia

More from AhaSlides

Data presentation: A comprehensive guide

Learn how to create data presentation effectively and communicate your insights in a way that is clear, concise, and engaging.

Raja Bothra

Building presentations

Hey there, fellow data enthusiast!

Welcome to our comprehensive guide on data presentation.

Whether you're an experienced presenter or just starting, this guide will help you present your data like a pro. We'll dive deep into what data presentation is, why it's crucial, and how to master it. So, let's embark on this data-driven journey together.

What is data presentation?

Data presentation is the art of transforming raw data into a visual format that's easy to understand and interpret. It's like turning numbers and statistics into a captivating story that your audience can quickly grasp. When done right, data presentation can be a game-changer, enabling you to convey complex information effectively.

Why are data presentations important?

Imagine drowning in a sea of numbers and figures. That's how your audience might feel without proper data presentation. Here's why it's essential:

• Clarity : Data presentations make complex information clear and concise.
• Engagement : Visuals, such as charts and graphs, grab your audience's attention.
• Comprehension : Visual data is easier to understand than long, numerical reports.
• Decision-making : Well-presented data aids informed decision-making.
• Impact : It leaves a lasting impression on your audience.

Types of data presentation:

Now, let's delve into the diverse array of data presentation methods, each with its own unique strengths and applications. We have three primary types of data presentation, and within these categories, numerous specific visualization techniques can be employed to effectively convey your data.

1. Textual presentation

Textual presentation harnesses the power of words and sentences to elucidate and contextualize your data. This method is commonly used to provide a narrative framework for the data, offering explanations, insights, and the broader implications of your findings. It serves as a foundation for a deeper understanding of the data's significance.

2. Tabular presentation

Tabular presentation employs tables to arrange and structure your data systematically. These tables are invaluable for comparing various data groups or illustrating how data evolves over time. They present information in a neat and organized format, facilitating straightforward comparisons and reference points.

3. Graphical presentation

Graphical presentation harnesses the visual impact of charts and graphs to breathe life into your data. Charts and graphs are powerful tools for spotlighting trends, patterns, and relationships hidden within the data. Let's explore some common graphical presentation methods:

• Bar charts: They are ideal for comparing different categories of data. In this method, each category is represented by a distinct bar, and the height of the bar corresponds to the value it represents. Bar charts provide a clear and intuitive way to discern differences between categories.
• Pie charts: It excel at illustrating the relative proportions of different data categories. Each category is depicted as a slice of the pie, with the size of each slice corresponding to the percentage of the total value it represents. Pie charts are particularly effective for showcasing the distribution of data.
• Line graphs: They are the go-to choice when showcasing how data evolves over time. Each point on the line represents a specific value at a particular time period. This method enables viewers to track trends and fluctuations effortlessly, making it perfect for visualizing data with temporal dimensions.
• Scatter plots: They are the tool of choice when exploring the relationship between two variables. In this method, each point on the plot represents a pair of values for the two variables in question. Scatter plots help identify correlations, outliers, and patterns within data pairs.

The selection of the most suitable data presentation method hinges on the specific dataset and the presentation's objectives. For instance, when comparing sales figures of different products, a bar chart shines in its simplicity and clarity. On the other hand, if your aim is to display how a product's sales have changed over time, a line graph provides the ideal visual narrative.

Additionally, it's crucial to factor in your audience's level of familiarity with data presentations. For a technical audience, more intricate visualization methods may be appropriate. However, when presenting to a general audience, opting for straightforward and easily understandable visuals is often the wisest choice.

In the world of data presentation, choosing the right method is akin to selecting the perfect brush for a masterpiece. Each tool has its place, and understanding when and how to use them is key to crafting compelling and insightful presentations. So, consider your data carefully, align your purpose, and paint a vivid picture that resonates with your audience.

What to include in data presentation?

When creating your data presentation, remember these key components:

• Data points : Clearly state the data points you're presenting.
• Comparison : Highlight comparisons and trends in your data.
• Graphical methods : Choose the right chart or graph for your data.
• Infographics : Use visuals like infographics to make information more digestible.
• Numerical values : Include numerical values to support your visuals.
• Qualitative information : Explain the significance of the data.
• Source citation : Always cite your data sources.

How to structure an effective data presentation?

Creating a well-structured data presentation is not just important; it's the backbone of a successful presentation. Here's a step-by-step guide to help you craft a compelling and organized presentation that captivates your audience:

1. Know your audience

Understanding your audience is paramount. Consider their needs, interests, and existing knowledge about your topic. Tailor your presentation to their level of understanding, ensuring that it resonates with them on a personal level. Relevance is the key.

2. Have a clear message

Every effective data presentation should convey a clear and concise message. Determine what you want your audience to learn or take away from your presentation, and make sure your message is the guiding light throughout your presentation. Ensure that all your data points align with and support this central message.

3. Tell a compelling story

Human beings are naturally wired to remember stories. Incorporate storytelling techniques into your presentation to make your data more relatable and memorable. Your data can be the backbone of a captivating narrative, whether it's about a trend, a problem, or a solution. Take your audience on a journey through your data.

4. Leverage visuals

Visuals are a powerful tool in data presentation. They make complex information accessible and engaging. Utilize charts, graphs, and images to illustrate your points and enhance the visual appeal of your presentation. Visuals should not just be an accessory; they should be an integral part of your storytelling.

5. Be clear and concise

Avoid jargon or technical language that your audience may not comprehend. Use plain language and explain your data points clearly. Remember, clarity is king. Each piece of information should be easy for your audience to digest.

6. Practice your delivery

Practice makes perfect. Rehearse your presentation multiple times before the actual delivery. This will help you deliver it smoothly and confidently, reducing the chances of stumbling over your words or losing track of your message.

A basic structure for an effective data presentation

Armed with a comprehensive comprehension of how to construct a compelling data presentation, you can now utilize this fundamental template for guidance:

In the introduction, initiate your presentation by introducing both yourself and the topic at hand. Clearly articulate your main message or the fundamental concept you intend to communicate.

Moving on to the body of your presentation, organize your data in a coherent and easily understandable sequence. Employ visuals generously to elucidate your points and weave a narrative that enhances the overall story. Ensure that the arrangement of your data aligns with and reinforces your central message.

As you approach the conclusion, succinctly recapitulate your key points and emphasize your core message once more. Conclude by leaving your audience with a distinct and memorable takeaway, ensuring that your presentation has a lasting impact.

Additional tips for enhancing your data presentation

To take your data presentation to the next level, consider these additional tips:

• Consistent design : Maintain a uniform design throughout your presentation. This not only enhances visual appeal but also aids in seamless comprehension.
• High-quality visuals : Ensure that your visuals are of high quality, easy to read, and directly relevant to your topic.
• Concise text : Avoid overwhelming your slides with excessive text. Focus on the most critical points, using visuals to support and elaborate.
• Anticipate questions : Think ahead about the questions your audience might pose. Be prepared with well-thought-out answers to foster productive discussions.

By following these guidelines, you can structure an effective data presentation that not only informs but also engages and inspires your audience. Remember, a well-structured presentation is the bridge that connects your data to your audience's understanding and appreciation.

Do’s and don'ts on a data presentation

• Use visuals : Incorporate charts and graphs to enhance understanding.
• Keep it simple : Avoid clutter and complexity.
• Highlight key points : Emphasize crucial data.
• Engage the audience : Encourage questions and discussions.
• Practice : Rehearse your presentation.

Don'ts:

• Overload with data : Less is often more; don't overwhelm your audience.
• Fit Unrelated data : Stay on topic; don't include irrelevant information.
• Neglect the audience : Ensure your presentation suits your audience's level of expertise.
• Read word-for-word : Avoid reading directly from slides.
• Lose focus : Stick to your presentation's purpose.

Summarizing key takeaways

• Definition : Data presentation is the art of visualizing complex data for better understanding.
• Importance : Data presentations enhance clarity, engage the audience, aid decision-making, and leave a lasting impact.
• Types : Textual, Tabular, and Graphical presentations offer various ways to present data.
• Choosing methods : Select the right method based on data, audience, and purpose.
• Components : Include data points, comparisons, visuals, infographics, numerical values, and source citations.
• Structure : Know your audience, have a clear message, tell a compelling story, use visuals, be concise, and practice.
• Do's and don'ts : Do use visuals, keep it simple, highlight key points, engage the audience, and practice. Don't overload with data, include unrelated information, neglect the audience's expertise, read word-for-word, or lose focus.

FAQ's on a data presentation

1. what is data presentation, and why is it important in 2024.

Data presentation is the process of visually representing data sets to convey information effectively to an audience. In an era where the amount of data generated is vast, visually presenting data using methods such as diagrams, graphs, and charts has become crucial. By simplifying complex data sets, presentation of the data may helps your audience quickly grasp much information without drowning in a sea of chart's, analytics, facts and figures.

2. What are some common methods of data presentation?

There are various methods of data presentation, including graphs and charts, histograms, and cumulative frequency polygons. Each method has its strengths and is often used depending on the type of data you're using and the message you want to convey. For instance, if you want to show data over time, try using a line graph. If you're presenting geographical data, consider to use a heat map.

3. How can I ensure that my data presentation is clear and readable?

To ensure that your data presentation is clear and readable, pay attention to the design and labeling of your charts. Don't forget to label the axes appropriately, as they are critical for understanding the values they represent. Don't fit all the information in one slide or in a single paragraph. Presentation software like Prezent and PowerPoint can help you simplify your vertical axis, charts and tables, making them much easier to understand.

4. What are some common mistakes presenters make when presenting data?

One common mistake is trying to fit too much data into a single chart, which can distort the information and confuse the audience. Another mistake is not considering the needs of the audience. Remember that your audience won't have the same level of familiarity with the data as you do, so it's essential to present the data effectively and respond to questions during a Q&A session.

5. How can I use data visualization to present important data effectively on platforms like LinkedIn?

When presenting data on platforms like LinkedIn, consider using eye-catching visuals like bar graphs or charts. Use concise captions and e.g., examples to highlight the single most important information in your data report. Visuals, such as graphs and tables, can help you stand out in the sea of textual content, making your data presentation more engaging and shareable among your LinkedIn connections.

Create your data presentation with prezent

Prezent can be a valuable tool for creating data presentations. Here's how Prezent can help you in this regard:

• Time savings : Prezent saves up to 70% of presentation creation time, allowing you to focus on data analysis and insights.
• On-brand consistency : Ensure 100% brand alignment with Prezent's brand-approved designs for professional-looking data presentations.
• Effortless collaboration : Real-time sharing and collaboration features make it easy for teams to work together on data presentations.
• Data storytelling : Choose from 50+ storylines to effectively communicate data insights and engage your audience.
• Personalization : Create tailored data presentations that resonate with your audience's preferences, enhancing the impact of your data.

In summary, Prezent streamlines the process of creating data presentations by offering time-saving features, ensuring brand consistency, promoting collaboration, and providing tools for effective data storytelling. Whether you need to present data to clients, stakeholders, or within your organization, Prezent can significantly enhance your presentation-making process.

So, go ahead, present your data with confidence, and watch your audience be wowed by your expertise.

Thank you for joining us on this data-driven journey. Stay tuned for more insights, and remember, data presentation is your ticket to making numbers come alive! Sign up for our free trial or book a demo ! ‍

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Blog Data Visualization 10 Data Presentation Examples For Strategic Communication

10 Data Presentation Examples For Strategic Communication

Written by: Krystle Wong Sep 28, 2023

Knowing how to present data is like having a superpower. 

Data presentation today is no longer just about numbers on a screen; it’s storytelling with a purpose. It’s about captivating your audience, making complex stuff look simple and inspiring action. 

To help turn your data into stories that stick, influence decisions and make an impact, check out Venngage’s free chart maker or follow me on a tour into the world of data storytelling along with data presentation templates that work across different fields, from business boardrooms to the classroom and beyond. Keep scrolling to learn more! 

Click to jump ahead:

10 Essential data presentation examples + methods you should know

What should be included in a data presentation, what are some common mistakes to avoid when presenting data, faqs on data presentation examples, transform your message with impactful data storytelling.

Data presentation is a vital skill in today’s information-driven world. Whether you’re in business, academia, or simply want to convey information effectively, knowing the different ways of presenting data is crucial. For impactful data storytelling, consider these essential data presentation methods:

1. Bar graph

Ideal for comparing data across categories or showing trends over time.

Bar graphs, also known as bar charts are workhorses of data presentation. They’re like the Swiss Army knives of visualization methods because they can be used to compare data in different categories or display data changes over time. 

In a bar chart, categories are displayed on the x-axis and the corresponding values are represented by the height of the bars on the y-axis. 

It’s a straightforward and effective way to showcase raw data, making it a staple in business reports, academic presentations and beyond.

Make sure your bar charts are concise with easy-to-read labels. Whether your bars go up or sideways, keep it simple by not overloading with too many categories.

2. Line graph

Great for displaying trends and variations in data points over time or continuous variables.

Line charts or line graphs are your go-to when you want to visualize trends and variations in data sets over time.

One of the best quantitative data presentation examples, they work exceptionally well for showing continuous data, such as sales projections over the last couple of years or supply and demand fluctuations. 

The x-axis represents time or a continuous variable and the y-axis represents the data values. By connecting the data points with lines, you can easily spot trends and fluctuations.

A tip when presenting data with line charts is to minimize the lines and not make it too crowded. Highlight the big changes, put on some labels and give it a catchy title.

3. Pie chart

Useful for illustrating parts of a whole, such as percentages or proportions.

Pie charts are perfect for showing how a whole is divided into parts. They’re commonly used to represent percentages or proportions and are great for presenting survey results that involve demographic data. 

Each “slice” of the pie represents a portion of the whole and the size of each slice corresponds to its share of the total. 

While pie charts are handy for illustrating simple distributions, they can become confusing when dealing with too many categories or when the differences in proportions are subtle.

Don’t get too carried away with slices — label those slices with percentages or values so people know what’s what and consider using a legend for more categories.

4. Scatter plot

Effective for showing the relationship between two variables and identifying correlations.

Scatter plots are all about exploring relationships between two variables. They’re great for uncovering correlations, trends or patterns in data. 

In a scatter plot, every data point appears as a dot on the chart, with one variable marked on the horizontal x-axis and the other on the vertical y-axis.

By examining the scatter of points, you can discern the nature of the relationship between the variables, whether it’s positive, negative or no correlation at all.

If you’re using scatter plots to reveal relationships between two variables, be sure to add trendlines or regression analysis when appropriate to clarify patterns. Label data points selectively or provide tooltips for detailed information.

5. Histogram

Best for visualizing the distribution and frequency of a single variable.

Histograms are your choice when you want to understand the distribution and frequency of a single variable. 

They divide the data into “bins” or intervals and the height of each bar represents the frequency or count of data points falling into that interval. 

Histograms are excellent for helping to identify trends in data distributions, such as peaks, gaps or skewness.

Here’s something to take note of — ensure that your histogram bins are appropriately sized to capture meaningful data patterns. Using clear axis labels and titles can also help explain the distribution of the data effectively.

6. Stacked bar chart

Useful for showing how different components contribute to a whole over multiple categories.

Stacked bar charts are a handy choice when you want to illustrate how different components contribute to a whole across multiple categories. 

Each bar represents a category and the bars are divided into segments to show the contribution of various components within each category. 

This method is ideal for highlighting both the individual and collective significance of each component, making it a valuable tool for comparative analysis.

Stacked bar charts are like data sandwiches—label each layer so people know what’s what. Keep the order logical and don’t forget the paintbrush for snazzy colors. Here’s a data analysis presentation example on writers’ productivity using stacked bar charts:

7. Area chart

Similar to line charts but with the area below the lines filled, making them suitable for showing cumulative data.

Area charts are close cousins of line charts but come with a twist. 

Imagine plotting the sales of a product over several months. In an area chart, the space between the line and the x-axis is filled, providing a visual representation of the cumulative total. 

This makes it easy to see how values stack up over time, making area charts a valuable tool for tracking trends in data.

For area charts, use them to visualize cumulative data and trends, but avoid overcrowding the chart. Add labels, especially at significant points and make sure the area under the lines is filled with a visually appealing color gradient.

8. Tabular presentation

Presenting data in rows and columns, often used for precise data values and comparisons.

Tabular data presentation is all about clarity and precision. Think of it as presenting numerical data in a structured grid, with rows and columns clearly displaying individual data points. 

A table is invaluable for showcasing detailed data, facilitating comparisons and presenting numerical information that needs to be exact. They’re commonly used in reports, spreadsheets and academic papers.

When presenting tabular data, organize it neatly with clear headers and appropriate column widths. Highlight important data points or patterns using shading or font formatting for better readability.

9. Textual data

Utilizing written or descriptive content to explain or complement data, such as annotations or explanatory text.

Textual data presentation may not involve charts or graphs, but it’s one of the most used qualitative data presentation examples. 

It involves using written content to provide context, explanations or annotations alongside data visuals. Think of it as the narrative that guides your audience through the data. 

Well-crafted textual data can make complex information more accessible and help your audience understand the significance of the numbers and visuals.

Textual data is your chance to tell a story. Break down complex information into bullet points or short paragraphs and use headings to guide the reader’s attention.

10. Pictogram

Using simple icons or images to represent data is especially useful for conveying information in a visually intuitive manner.

Pictograms are all about harnessing the power of images to convey data in an easy-to-understand way. 

Instead of using numbers or complex graphs, you use simple icons or images to represent data points. 

For instance, you could use a thumbs up emoji to illustrate customer satisfaction levels, where each face represents a different level of satisfaction. 

Pictograms are great for conveying data visually, so choose symbols that are easy to interpret and relevant to the data. Use consistent scaling and a legend to explain the symbols’ meanings, ensuring clarity in your presentation.

Looking for more data presentation ideas? Use the Venngage graph maker or browse through our gallery of chart templates to pick a template and get started! 

A comprehensive data presentation should include several key elements to effectively convey information and insights to your audience. Here’s a list of what should be included in a data presentation:

1. Title and objective

• Begin with a clear and informative title that sets the context for your presentation.
• State the primary objective or purpose of the presentation to provide a clear focus.

2. Key data points

• Present the most essential data points or findings that align with your objective.
• Use charts, graphical presentations or visuals to illustrate these key points for better comprehension.

3. Context and significance

• Provide a brief overview of the context in which the data was collected and why it’s significant.
• Explain how the data relates to the larger picture or the problem you’re addressing.

4. Key takeaways

• Summarize the main insights or conclusions that can be drawn from the data.
• Highlight the key takeaways that the audience should remember.

5. Visuals and charts

• Use clear and appropriate visual aids to complement the data.
• Ensure that visuals are easy to understand and support your narrative.

6. Implications or actions

• Discuss the practical implications of the data or any recommended actions.
• If applicable, outline next steps or decisions that should be taken based on the data.

7. Q&A and discussion

• Allocate time for questions and open discussion to engage the audience.
• Address queries and provide additional insights or context as needed.

Presenting data is a crucial skill in various professional fields, from business to academia and beyond. To ensure your data presentations hit the mark, here are some common mistakes that you should steer clear of:

Overloading with data

Presenting too much data at once can overwhelm your audience. Focus on the key points and relevant information to keep the presentation concise and focused. Here are some free data visualization tools you can use to convey data in an engaging and impactful way. 

Assuming everyone’s on the same page

It’s easy to assume that your audience understands as much about the topic as you do. But this can lead to either dumbing things down too much or diving into a bunch of jargon that leaves folks scratching their heads. Take a beat to figure out where your audience is coming from and tailor your presentation accordingly.

Misleading visuals

Using misleading visuals, such as distorted scales or inappropriate chart types can distort the data’s meaning. Pick the right data infographics and understandable charts to ensure that your visual representations accurately reflect the data.

Not providing context

Data without context is like a puzzle piece with no picture on it. Without proper context, data may be meaningless or misinterpreted. Explain the background, methodology and significance of the data.

Not citing sources properly

Neglecting to cite sources and provide citations for your data can erode its credibility. Always attribute data to its source and utilize reliable sources for your presentation.

Not telling a story

Avoid simply presenting numbers. If your presentation lacks a clear, engaging story that takes your audience on a journey from the beginning (setting the scene) through the middle (data analysis) to the end (the big insights and recommendations), you’re likely to lose their interest.

Infographics are great for storytelling because they mix cool visuals with short and sweet text to explain complicated stuff in a fun and easy way. Create one with Venngage’s free infographic maker to create a memorable story that your audience will remember.

Ignoring data quality

Presenting data without first checking its quality and accuracy can lead to misinformation. Validate and clean your data before presenting it.

Simplify your visuals

Fancy charts might look cool, but if they confuse people, what’s the point? Go for the simplest visual that gets your message across. Having a dilemma between presenting data with infographics v.s data design? This article on the difference between data design and infographics might help you out. 

Missing the emotional connection

Data isn’t just about numbers; it’s about people and real-life situations. Don’t forget to sprinkle in some human touch, whether it’s through relatable stories, examples or showing how the data impacts real lives.

Skipping the actionable insights

At the end of the day, your audience wants to know what they should do with all the data. If you don’t wrap up with clear, actionable insights or recommendations, you’re leaving them hanging. Always finish up with practical takeaways and the next steps.

Can you provide some data presentation examples for business reports?

Business reports often benefit from data presentation through bar charts showing sales trends over time, pie charts displaying market share,or tables presenting financial performance metrics like revenue and profit margins.

What are some creative data presentation examples for academic presentations?

Creative data presentation ideas for academic presentations include using statistical infographics to illustrate research findings and statistical data, incorporating storytelling techniques to engage the audience or utilizing heat maps to visualize data patterns.

What are the key considerations when choosing the right data presentation format?

When choosing a chart format , consider factors like data complexity, audience expertise and the message you want to convey. Options include charts (e.g., bar, line, pie), tables, heat maps, data visualization infographics and interactive dashboards.

Knowing the type of data visualization that best serves your data is just half the battle. Here are some best practices for data visualization to make sure that the final output is optimized. 

How can I choose the right data presentation method for my data?

To select the right data presentation method, start by defining your presentation’s purpose and audience. Then, match your data type (e.g., quantitative, qualitative) with suitable visualization techniques (e.g., histograms, word clouds) and choose an appropriate presentation format (e.g., slide deck, report, live demo).

For more presentation ideas , check out this guide on how to make a good presentation or use a presentation software to simplify the process.  

How can I make my data presentations more engaging and informative?

To enhance data presentations, use compelling narratives, relatable examples and fun data infographics that simplify complex data. Encourage audience interaction, offer actionable insights and incorporate storytelling elements to engage and inform effectively.

The opening of your presentation holds immense power in setting the stage for your audience. To design a presentation and convey your data in an engaging and informative, try out Venngage’s free presentation maker to pick the right presentation design for your audience and topic. 

What is the difference between data visualization and data presentation?

Data presentation typically involves conveying data reports and insights to an audience, often using visuals like charts and graphs. Data visualization , on the other hand, focuses on creating those visual representations of data to facilitate understanding and analysis. 

Now that you’ve learned a thing or two about how to use these methods of data presentation to tell a compelling data story , it’s time to take these strategies and make them your own. 

But here’s the deal: these aren’t just one-size-fits-all solutions. Remember that each example we’ve uncovered here is not a rigid template but a source of inspiration. It’s all about making your audience go, “Wow, I get it now!”

Think of your data presentations as your canvas – it’s where you paint your story, convey meaningful insights and make real change happen. 

So, go forth, present your data with confidence and purpose and watch as your strategic influence grows, one compelling presentation at a time.

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• Presentation Tips

How to Present Data Effectively

You’re sitting in front of your computer and ready to put together a presentation involving data.   The numbers stare at you from your screen, jumbled and raw.   How do you start?   Numbers on their own can be difficult to digest. Without any context, they’re just that—numbers.   But organize them well and they tell a story.   In this blog post, we’ll go into the importance of structuring data in a presentation and provide tips on how to do it well. These tips are practical and applicable for all sorts of presentations—from marketing plans and medical breakthroughs to project proposals and portfolios. 

What is data presentation?

3 essential tips on data presentation, use the right chart, keep it simple, use text wisely and sparingly.

In many ways, data presentation is like storytelling—only you do them with a series of graphs and charts.  One of the most common mistakes presenters make is being so submerged in the data that they fail to view it from an outsider’s point of view.   Always keep this in mind: What makes sense to you may not make sense to your audience. To portray figures and statistics in a way that’s comprehensible to your viewers, step back, put yourself in their shoes, and consider the following: 

• How much do they know about the topic?
• How much information will they need?
• What data will impress them?

Providing a context helps your audience visualize and understand the numbers. To help you achieve that, here are three tips on how to represent data effectively.  

Whether you’re using Google Slides or PowerPoint, both come equipped with a range of design tools that help you help your viewers make sense of your qualitative data.  The key here is to know how to use them and how to use them well. In these tips, we’ll cover the basics of data presentation that are often overlooked but also go beyond basics for more professional advice. 

The downside of having too many tools at your disposal is that it makes selecting an uphill task.   Pie and bar charts are by far the most commonly used methods as they are versatile and easy to understand. 

If you’re looking to kick things up a notch, think outside the box. When the numbers allow for it, opt for something different. For example, donut charts can sometimes be used to execute the same effect as pie charts. 

But these conventional graphs and charts aren’t applicable to all types of data. For example, if you’re comparing numerous variables and factors, a bar chart would do no good. A table, on the other hand, offers a much cleaner look.

Pro tip : If you want to go beyond basics, create your own shapes and use their sizes to reflect proportion, as seen in this next image.

Their sizes don’t have to be an exact reflection of their proportions. What’s important here is that they’re discernible and are of the same shape so that your viewers can grasp its concept at first glance.  Note that this should only be used for comparisons with large enough contrasts. For instance, it’d be difficult to use this to compare two market sizes of 25 percent and 26 percent. 

When it comes to making qualitative data digestible, simplicity does the trick.  Limit the number of elements on the slide as much as possible and provide only the bare essentials. 

See how simple this slide is? In one glance, your eye immediately goes to the percentages of the donut because there are no text boxes, illustrations, graphics, etc. to distract you.  Sometimes, more context is needed for your numbers to make sense. In the spirit of keeping your slides neat, you may be tempted to spread the data across two slides. But that makes it complicated, so putting it all on one slide is your only option.  In such cases, our mantra of “keep it simple” still applies. The trick lies in neat positioning and clever formatting.  

In the above slides, we’ve used boxes to highlight supporting figures while giving enough attention to the main chart. This separates them visually and helps the audience focus better.  With the slide already pretty full, it’s crucial to use a plain background or risk overwhelming your viewers.  

Last but certainly not least, our final tip involves the use of text.  Just because you’re telling a story with numbers doesn’t mean text cannot be used. In fact, the contrary proves true: Text plays a vital role in data presentation and should be used strategically.  To highlight a particular statistic, do not hesitate to go all out and have that be the focal point of your slide for emphasis. Keep text to a minimum and as a supporting element. 

Make sure your numbers are formatted clearly. Large figures should have thousands separated with commas. For example, 4,498,300,000 makes for a much easier read than “4498300000”. Any corresponding units should also be clear.  With data presentation, don’t forget that numbers are still your protagonist, so they must be highlighted with a larger or bolder font.  Where there are numbers and graphics, space is scarce so every single word must be chosen wisely.   The key here is to ensure your viewers understand what your data represents in one glance but to leave it sufficiently vague, like a teaser, so that they pay attention to your speech for more information.  → Slidesgo’s free presentation templates come included with specially designed and created charts and graphs that you can easily personalize according to your data. Give them a try now! 

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9 Data Presentation Tools for Business Success

• By Judhajit Sen
• May 29, 2024

A data presentation is a slide deck that shares quantitative information with an audience using visuals and effective presentation techniques . The goal is to make complex data easily understandable and actionable using data presentation examples like graphs and charts, tables, dashboards, and clear text explanations. 

Data presentations help highlight trends, patterns, and insights, allowing the audience to grasp complicated concepts or trends quickly. This makes it easier for them to make informed decisions or conduct deeper analysis.

Data visualization in presentations is used in every field, from academia to business and industry. Raw data is often too complex to understand directly, so data analysis breaks it down into charts and graphs. These tools help turn raw data into useful information.

Once the information is extracted, it’s presented graphically. A good presentation can significantly enhance understanding and response.

Think of data presentation as storytelling in business presentations with charts. A common mistake is assuming the audience understands the data as well as the presenter. Always consider your audience’s knowledge level and what information they need when you present your data.

To present the data effectively:

1. Provide context to help the audience understand the numbers.

2. Compare data groups using visual aids.

3. Step back and view the data from the audience’s perspective.

Data presentations are crucial in nearly every industry, helping professionals share their findings clearly after analyzing data.

Key Takeaways

• Simplifying Complex Data: Data presentations turn complex data into easy-to-understand visuals and narratives, helping audiences quickly grasp trends and insights for informed decision-making.
• Versatile Tools: Various tools like bar charts, dashboards, pie charts, histograms, scatter plots, pictograms, textual presentations, and tables each serve unique purposes, enhancing the clarity and impact of the data.
• Audience Consideration: Tailor your presentation to the audience’s knowledge level, providing context and using simple visuals to make the information accessible and actionable.
• Effective Data Storytelling: Combining clear context, organized visuals, and thoughtful presentation ensures that the data’s story is conveyed effectively, supporting better business decisions and success.

Following are 9 data presentation tools for business success.

Bar charts are a simple yet powerful method of presentation of the data using rectangular bars to show quantities or frequencies. They make it easy to spot patterns or trends at a glance. Bar charts can be vertical (column charts) or horizontal, depending on how you want to display your data.

In a bar graph, categories are displayed on one axis, usually the x-axis for vertical charts and the y-axis for horizontal ones. The bars’ lengths represent the values or frequencies of these categories, with the scale marked on the opposite axis.

These charts are ideal for comparing data across different categories or showing trends over time. Each bar’s height (or length in a horizontal chart) is directly proportional to the value it represents. This visual representation helps illustrate differences or changes in data.

Bar charts are versatile tools in business reports, academic presentations, and more. To make your bar charts effective:

• Ensure they are concise and have easy-to-read labels.
• Avoid clutter by not including too many categories, making the chart hard to read.
• Keep it simple to maintain clarity and impact, whether your bars go up or sideways.

Line Graphs

Line graphs show how data changes over time or with continuous variables. They connect points of data with straight lines, making it easy to see trends and fluctuations. These graphs are handy when comparing multiple datasets over the same timeline.

Using line graphs, you can track things like stock prices, sales projections, or experimental results. The x-axis represents time or another continuous variable, while the y-axis shows the data values. This setup allows you to understand the ups and downs in the data quickly.

To make your graphs effective, keep them simple. Avoid overcrowding with too many lines, highlight significant changes, use labels, and give your graph a clear, catchy title. This will help your audience grasp the information quickly and easily.

A data dashboard is a data analysis presentation example for analyzing information. It combines different graphs, charts, and tables in one layout to show the information needed to meet one or more objectives. Dashboards help quickly see Key Performance Indicators (KPIs) by displaying visuals you’ve already made in worksheets.

It’s best to keep the number of visuals on a dashboard to three or four. Adding too many can make it hard to see the main points. Dashboards are helpful for business analytics, like analyzing sales, revenue, and marketing metrics. In manufacturing, they help users understand the production scenario and track critical KPIs for each production line.

Dashboards represent vital points of data or metrics in an easy-to-understand way. They are often an  interactive presentation idea , allowing users to drill down into the data or view different aspects of it.

Pie charts are circular graphs divided into parts to show numerical proportions. Each portion represents a part of the whole, making it easy to see each component’s contribution to the total.

The size of each slice is determined by its value relative to the total. A pie chart with more significant points of data will have larger slices, and the whole chart will be more important. However, you can make all pies the same size if proportional representation isn’t necessary.

Pie charts are helpful in business to show percentage distributions, compare category sizes, or present simple data sets where visualizing ratios is essential. They work best with fewer variables. For more variables, it’s better to use a pie chart calculator that helps to create pie charts easily for various data sets with different color slices. 

Each “slice” represents a fraction of the total, and the size of each slice shows its share of the whole. Pie charts are excellent for showing how a whole is divided into parts, such as survey results or demographic data.

While pie charts are great for simple distributions, they can get confusing with too many categories or slight differences in proportions. To keep things clear, label each slice with percentages or values and use a legend if there are many categories. If more detail is needed, consider using a donut chart with a blank center for extra information and a less cluttered look.

A histogram is a graphical presentation of data  to help in understanding the distribution of numerical values. Unlike bar charts that show each response separately, histograms group numeric responses into bins and display the frequency of reactions within each bin. The x-axis denotes the range of values, while the y-axis shows the frequency of those values.

Histograms are useful for understanding your data’s distribution, identifying shared values, and spotting outliers. They highlight the story your data tells, whether it’s exam scores, sales figures, or any other numerical data.

Histograms are great for visualizing the distribution and frequency of a single variable. They divide the data into bins, and the height of each bar indicates how many points of data fall into that bin. This makes it easy to see trends like peaks, gaps, or skewness in your data.

To make your histogram effective, choose bin sizes that capture meaningful patterns. Clear axis labels and titles also help in explaining the data distribution.

Scatter Plot

Using individual data points, a scatter plot chart is a presentation of data in visual form to show the relationship between two variables. Each variable is plotted along the x-axis and y-axis, respectively. Each point on the scatter plot represents a single observation.

Scatter plots help visualize patterns, trends, and correlations between the two variables. They can also help identify outliers and understand the overall distribution of data points. The way the points are spread out or clustered together can indicate whether there is a positive, negative, or no clear relationship between the variables.

Scatter plots can be used in practical applications, such as in business, to show how variables like marketing cost and sales revenue are related. They help understand data correlations, which aids in decision-making.

To make scatter plots more effective, consider adding trendlines or regression analysis to highlight patterns. Labeling key data points or tooltips can provide additional information and make the chart easier to interpret.

A pictogram is the simplest form of data presentation and analysis, often used in schools and universities to help students grasp concepts more effectively through pictures.

This type of diagram uses images to represent data. For example, you could draw five books to show the number of books sold in the first week of release, with each image representing 1,000 books. If consumers bought 5,000 books, you would display five book images.

Using simple icons or images makes the information visually intuitive. Instead of relying on numbers or complex graphs, pictograms use straightforward symbols to depict data points. For example, a thumbs-up emoji can illustrate customer satisfaction levels, with each emoji representing a different level of satisfaction.

Pictograms are excellent for visual data presentation. Choose symbols that are easy to interpret and relevant to the data to ensure clarity. Consistent scaling and a legend explaining the symbols’ meanings are essential for an effective presentation.

Textual Presentation

Textual presentation uses words to describe the relationships between pieces of information. This method helps share details that can’t be shown in a graph or table. For example, researchers often present findings in a study textually to provide extra context or explanation. A textual presentation can make the information more transparent.

This type of presentation is common in research and for introducing new ideas. Unlike charts or graphs, it relies solely on paragraphs and words.

Textual presentation also involves using written content, such as annotations or explanatory text, to explain or complement data. While it doesn’t use visual presentation aids like charts, it is a widely used method for presenting qualitative data. Think of it as the narrative that guides your audience through the data.

Adequate textual data may make complex information more accessible. Breaking down complex details into bullet points or short paragraphs helps your audience understand the significance of numbers and visuals. Headings can guide the reader’s attention and tell a coherent story.

Tabular Presentation

Tabular presentation uses tables to share information by organizing data in rows and columns. This method is useful for comparing data and visualizing information. Researchers often use tables to analyze data in various classifications:

Qualitative classification: This includes qualities like nationality, age, social status, appearance, and personality traits, helping to compare sociological and psychological information.

Quantitative classification: This covers items you can count or number.

Spatial classification: This deals with data based on location, such as information about a city, state, or region.

Temporal classification: This involves time-based data measured in seconds, hours, days, or weeks.

Tables simplify data, making it easily consumable, allow for side-by-side comparisons, and save space in your presentation by condensing information.

Using rows and columns, tabular presentation focuses on clarity and precision. It’s about displaying numerical data in a structured grid, clearly showing individual data points. Tables are invaluable for showcasing detailed data, facilitating comparisons, and presenting exact numerical information. They are commonly used in reports, spreadsheets, and academic papers.

Organize tables neatly with clear headers and appropriate column widths to ensure readability. Highlight important data points or patterns using shading or font formatting. Tables are simple and effective, especially when the audience needs to know precise figures.

Elevate Business Decisions with Effective Data Presentations

Data presentations are essential for transforming complex data into understandable and actionable insights. Data presentations simplify the process of interpreting quantitative information by utilizing data presentation examples like charts, graphs, tables, infographics, dashboards, and clear narratives. This method of storytelling with visuals highlights trends, patterns, and insights, enabling audiences to make informed decisions quickly.

In business, data analysis presentations are invaluable. Different types of presentation tools like bar charts help compare categories and track changes over time, while dashboards consolidate various metrics into a comprehensive view. Pie charts and histograms offer clear views of distributions and proportions, aiding in grasping the bigger picture. Scatter plots reveal relationships between variables, and pictograms make data visually intuitive. Textual presentations and tables provide detailed context and precise figures, which are essential for thorough analysis and comparison.

Consider the audience’s knowledge level to tailor the best way to present data in PowerPoint. Clear context, simple visuals, and thoughtful organization ensure the data’s story is easily understood and impactful. Mastering these nine data presentation types can significantly enhance business success by making data-driven decisions more accessible and practical.

Frequently Asked Questions (FAQs)

1. What is a data presentation?

A data presentation is a slide deck that uses visuals and narrative techniques to make complex data easy to understand and actionable. It includes charts, graphs, tables, infographics, dashboards, and clear text explanations.

2. Why are data presentations important in business?

Data presentations are crucial because they help highlight trends, patterns, and insights, making it easier for the audience to understand complicated concepts. This enables better decision-making and deeper analysis.

3. What types of data presentation tools are commonly used?

Common tools include bar charts, line graphs, dashboards, pie charts, histograms, scatter plots, pictograms, textual presentations, and tables. Each tool has a unique way of representing data to aid understanding.

4. How can I ensure my data presentation is effective?

To ensure effectiveness, provide context, compare data sets using visual aids, consider your audience’s knowledge level, and keep visuals simple. Organizing information thoughtfully and avoiding clutter enhances clarity and impact.

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20 Free PowerPoint and Google Slides Templates for Data Presentations

Presenting the results of your data analysis need not be a hair pulling experience. These 20 free PowerPoint and Google Slides templates for data presentations will help you cut down your preparation time significantly. You’ll be able to focus on what matters most – ensuring the integrity of your data and its analysis. We’ll take care of the design end for you!

That said, I’ve divided this article into 2 sections. In the first part, I’ll share the PowerPoint templates. And in the second part, the Google Slides templates. Oh, and in case you’re wondering, yes, you can use a PowerPoint template in Google Slides and vice versa .

PowerPoint Templates For Your Data Presentations

• Playful Venn Diagram PowerPoint Template

Venn diagrams are great when it comes to showing the similarities and differences between 2 or more data sets. Just by looking at the diagram, your audience can tell if there’s anything common between data sets A and B. Or if there’s a relationship between data sets B and C.

Likewise, if you want to emphasize the differences between data sets, Venn diagrams are great for that purpose, too. Now, for this template pack, you’ve got 10 slides to choose from. You don’t need to use all of them for your presentation, simply pick one or two that does the job for you.

• Graph, Diagram & Data Sheet PowerPoint Template

There’s a reason why graphs and diagrams are so important in presentations. It’s because they make complex data look so much more understandable. Can you imagine copy and pasting all 1,000 rows of data on your slides? And then expecting your audience to understand what all those numbers mean?

Some geeks in your audience may love the challenge, but for the most part, normal people are going to hate your presentation. Fortunately, this 6-slide template pack will help simplify your job. And make it so much easier for your audience to understand the results of your data analysis!

• Cockpit Chart Presentation Template

If you’re giving a high-level presentation to decision-makers who need hard data and proper analysis, then this free template pack may be what you’re looking for. Each of the 9 slides included in this pack all include a number of charts and diagrams.

By default, text has been kept to a minimum, so there’s nothing to read off the slides. You can verbally explain what the graphs and diagrams mean. And perhaps, if the situation calls for it, you can share your recommended or suggested course of action for your stakeholders and decision-makers.

• Generic Data Driven PowerPoint Template

The best templates for data presentations will make your data come to life. This is where this 6-slide template pack comes in. It’s not only designed to make your data more understandable. But the good thing is, you can use this template for many different kinds of presentations. Whether you’re doing a presentation for a job interview, or a sales presentation, or even an academic one, this template can do the job.

If you want to make the slides look even more unique, you can quickly replace the background photo of the laptop. Then try using something that is more relevant to the type of presentation you’re doing. Slides include a pie chart slide, line chart with comments slide (this is the one in the screenshot above), and an overall statistics slide.

• Matrix Chart PowerPoint Template

The matrix chart looks simple enough. You’ve got rows and columns, pretty much like any regular table. But it’s more than just a table. A matrix chart allows you to compare and analyze different sets of data. You can use it to prove certain data sets are related. Plus, you can even show the strength of that relationship.

This template pack comes in 10 slides. In addition to the basic matrix slide shown above, this pack also include slides like the probability and impact matrix chart slide as well as the table-like matrix chart slide.

• Stair Diagram PowerPoint Template

Just like its namesake, stair diagrams are great for showing a series of steps or progression. You can use good, old-fashioned bullet points, but it’s not going to be much fun. You’ve got 10 different stair diagrams to choose from in this template; the screenshot above shows a steps stair diagram .

Now, most of the diagrams we’ve designed have room for 4 or 5 steps. So, if you need more you can always add an extra step on the same slide. Or you can copy and paste to a new slide and just update the numbers.

Stair diagrams are pretty versatile. You can use them to present how certain processes work, describe a project workflow for maximum productivity, or use it to showcase certain structures in the company.

• Tables PowerPoint Template

Tables have been around for a long time. And it doesn’t look like it’s going to go out of ‘fashion’ soon. Quite the opposite, in fact. As you may have noticed, many of the charts and diagrams included in various templates in this article are based off of tables.

That said, this template pack is also quite unique as well. In addition to the normal-looking table slide shown above, our designers have also made it a point to come up with innovative ways to display tables for your presentations.

For instance, sample slides include a subscription slide, table with symbols slide, and a matrix organization structure table slide. Check out this template right away and see which table slides will look best for your presentation!

• Flow Chart PowerPoint Template

Flowcharts are extremely useful for documenting certain company procedures. You can even use it to present the hierarchy in the company, and who’s responsible for certain tasks. Instead of verbally discussing processes, why not try using a flowchart? You don’t need to design one from scratch either. You can just download this template pack and customize it according to your needs.

The good news is you have 10 different flowchart slides to choose from. Now, if you need to change the shapes to indicate certain steps and decisions, you can quickly do so in PowerPoint.

• Financial Pie Graphs PowerPoint Templates

Whether you’re presenting in front of the higher-ups in your company or potential investors for your startup, these financial pie charts will help you get your point across. With a few clicks you can customize these pie charts and make it your own.

Your audience can quickly analyze the charts and see which departments or products are profitable. In addition to the percentages shown on the slide, you can also add a short description about your financial metrics.

This template pack has 3 slides included. These are ring pie chart slide, financial pie charts for comparison slide (shown above), and the doughnut pie chart slide.

• Research & Development Data Templates

Any startup worth their salt will have a research and development process or team in place. These things are no joke – product development can take years and cost millions of dollars! External funding is often needed to sustain the R&D process.

This is where this template pack comes in. When you present to potential investors, you want to make it as succinct as possible. So, get directly to the point and show them the slides in this template pack.

Now, design is just a small part of the overall presentation. It’s your passion in the product and your ability to persuade potential investors that will ultimately lead you to success!

• Sales Report Presentation Template

Our list of templates for data presentations won’t be complete without a sales report template. As you can see, this template is great for in-house sales reports. This pack includes a vertical bar chart slide, marketing funnel slide (pictured), and a sales associate slide.

The vertical bar chart slide is great for keeping track of your team’s sales or cash flow. The marketing funnel slide, on the other hand, can help educate the team on how a marketing funnel works and which stages they should focus on.

Lastly, the sales associate slide can be used to introduce the most successful person in the team. This will definitely help boost his or her self-esteem and encourage others to do better next time!

• Data Driven Financial Templates

This 11-slide template pack is chock-full of charts and diagrams. The slides have been designed this way because it’s targeted for high-stakes financial presentations. For presentations that talk about money, you need to support your statements with cold, hard facts. And you need to do that in a professional manner.

This template will not let you down. From the design to the types of graphs we’ve included in the slides, this will suffice for most financial presentations. So, what are you waiting for? Check out the template pack right away!

• Block Chain Data PowerPoint Template

Cryptocurrency and blockchain are all the rage nowadays. A lot of people became millionaires – literally – overnight, but many more gambled and lost their entire life savings!

Blockchain technology is practically still in infancy. Sharing what you know about it isn’t exactly a walk in the park either. To help your audience understand the complexities of blockchain technology, use this template pack. It’s got all the slides you need to inform and educate your audience about the wonderful world of blockchain technology.

Google Slides Templates For Your Data Presentations

• Google Slides Life-cycle Diagram Template

A product’s life cycle is predictable. It starts with the introduction to the market, to product growth and maturity, and eventually, its decline. And it’s important to identify these stages because each has a direct influence on the company’s marketing activities and pricing.

This template pack will not only help you identify the stages. It will also help you assure your stakeholders and potential investors that you’ve done your research. And you’ll do whatever it takes to ensure the product’s success and, of course, profitability.

• Google Slides Playful Pie Chart Template

Unlike the other pie charts I’ve featured in this article, this one is going to be easy to use. First of all, there’s no need to download the template to your computer. All you have to do is just register an account on our Template Hub, and then create a copy of the template in Google Slides. As you can imagine, editing it is going to be a breeze as well. You’ve got 10 pie chart slides to choose from. Pick the ones that will help you get your message across, edit, and present (or publish)!

• Google Slides Dashboard Template

As you can see in the screenshot above, a dashboard slide will basically tell your audience everything they need to know in just a single slide. You can stretch the content out, and use one slide for each chart. But it’s not going to be dashboard style anymore if you do this.

Dashboard template slides are great for elevator pitches. Your prospects most likely don’t have a lot of free time. And you certainly don’t want to waste their time as doing so will leave a bad taste in their mouth. A dashboard-style presentation, however, will pique their curiosity and improve the likelihood that they’ll agree to a second meeting with you!

• Google Slides Waterfall Diagram Template

Waterfall charts are great for financial presentations. You can easily show which elements or categories gained or lost over a certain period of time. It can even be used to demonstrate changes in cash flow or your company’s performance in the stock market. This template pack has a total of 10 slides. This includes the waterfall performance comparison slide (pictured), waterfall flowchart diagram, and the project timeline slide.

• Google Slides Playful Data Driven Template

You may be thinking that templates for data presentations should be serious-looking. Well, that may be the norm, but it doesn’t mean your audience won’t appreciate a change of scenery!

This 10-slide playful-looking template packs a lot of punch. You can use this for a wide variety of presentations as it includes a lot of different charts and graphs you can use to share the results of your data analysis. There’s a bar graph, radar chart, waterfall statistics chart, a treemap, and more! Login to your Template Hub account to use this free Google Slides template!

• Google Slides Circle Diagram Template

The circle diagram template pack features 10 different kinds of circle charts. From pie charts, timelines, and cyclical processes to Venn diagrams, this versatile template can be used in all types of presentations. The color theme used is playful, and at the same time, professional, so you can be sure it will appeal to a wide audience. Some of the slides include a circle tracker diagram, project management chart, and a life cycle slide.

• Google Slides Creative Data Driven Financial Chart Template

Number crunchers will love the clean design on this 9-slide template pack. Getting your audience to understand your financial presentation is going to be a breeze using this template. There’s plenty of white space, and the graphics themselves are easy on the eyes. It’s your job as presenter, however, to explain what all these charts mean. So, once you’ve replaced the placeholder content with your own, you better start practicing your presentation speech!

What are your favorites templates so far?

I hope these 20 free PowerPoint and Google Slides template for data presentations have helped you out. Presentation design is important, but it pales in comparison to the message you want to share with your audience. As visual aids, we’ve designed these templates to be attractive while still maintaining a professional and trustworthy design. So, go ahead and download your favorite templates for your next data presentation!

You might also find this interesting:   Google Slides Review: Is It Better Than PowerPoint?

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The definitive guide to presenting data in PowerPoint

DON’T HAVE TIME TO READ THE ARTICLE? DON’T WORRY, LET ME SEND YOU A COPY

Do you work between PowerPoint and Excel , importing tables and graphs for presenting data in PowerPoint , such as business or analytic results? 

I did so when I was working for a multinational company in FMCG. I decided to write this guide as a summary of everything I wanted to know when I was in your shoes, about presenting data in PowerPoint .

Analytics are the base of the strategic decision-making in structured organizations. In business , I believe that you should always use all possible data before making a decision on investment. For example, the most structured organizations have roles dedicated to analyzing and presenting performances.

Nowadays, the hunger for data to support decisions is transversal and affects practically every company function, from line functions to staff functions.

I often work with people in roles such as finance or accounting, who send me complete presentations made exclusively from charts and tables .

They certainly don’t want to add some images to make their tables more appealing!

What are they looking for?

They look for visual effectiveness and communication strategy, because behind a table or a chart , there are messages that could support stakeholders in  making one decision rather than another.

Presenting data in PowerPoint can often make the difference between success or failure.

If, until now, you thought that your role only included numerical presentations and therefore Lean Presentation Design cannot help you, this guide will change your mind.

A presentation made of tables and graphs can be boring, lack design of the visual path (where would you like people to look?), may be missing  an information hierarchy , or simply missing a story , therefore, missing an appealing flow .

Among the many methodologies of data storytelling that you can find online, there is one that has a very close approach to Lean Presentation Design, and it is the Cole Nussbaumer Knaflic.

We can learn from her methodology of effectively presenting data in PowerPoint and improving the strength of your presentations .

In Data Storytelling , Cole presents an optimization process of any chart or table based on 6 simple steps (the book is obviously available on Amazon ): 

Step #1: Understand the Context

Before you even think about graphs, numbers or tables, you need to understand the context in which you operate. The first fundamental distinction is between exploratory analysis and explanatory analysis .

Usually in a process of analysis, synthesis and presentation of data , the phase in which you are presenting is the last one , in which you should expose the results of your work.

The analysis often begins with the exploratory phase . In fact, doing data analysis is a bit like looking for a needle in a haystack: digging through reports, crossing numbers and trying to identify a pattern or insight that allows you to identify or understand the dynamic of a problem, and then make a forecast.

Cole compares the analysis of the data with a search of pearls in shells: to find one, you probably have to open a hundred oysters, and this takes time and effort.

When we do a hard job, we often forget   to present the whole process to support the final discovery, as though you were telling the story of all the time spent in the haystack to look for the needle and all the corners where you looked without success, without finishing the story.

However, your role is   to manage this complexity and present only the solution , not all the work that was behind it. Otherwise you will make the presentation unbearable and extremely tiring for those who listen to you, who will then experience the same frustrations you suffered during the research activity.

Presenting in PowerPoint , you have to share the synthesis and shed light on the discoveries without wasting time , thus focusing on what Cole defines as  the explanatory analysis .

If you have already read the guide “ How to create effective tables in PowerPoint “, it is the same consideration I was explaining, in that you don’t need to show all the steps necessary to get the number you want to present but focus on “actionable numbers”.

By “actionable numbers”, I refer to all the numerical data you need to support the recommendation you want to give the audience .

In short, use only the numbers that you need to convince them to take the decision  you want them to take. Remember that your role, as a presenter, is to recommend one decision over all others .

To convince who ? To do what? And how do you plan to do it?

These are the three fundamental questions you must answer to contextualize your presentation with respect to the people you are facing while presenting data in PowerPoint .

The first step  when you prepare a presentation , is to know the people listening to you well  (WHO).  Cole says that it is not enough to know the job title or their role in the organization and I agree with that.

According to what Peter Cougher, author of the bestseller “ The Art of Pitch “:

It’s a difficult task to know your audience at this level of detail, right?

This is a reading that I highly recommend if you are willing to do a presentation in public for your work ( see the book on Amazon ).

In my opinion, all you really need to know about your audience are the reasons behind their resistance to change .

In Change Management, we talk about resistance to change, referring to all the stakeholders within the organization who oppose a potential change.

After all, we know that people don’t like doing something different than what they’ve always done, because it means getting out of one’s comfort zone and that makes them uncomfortable.

The discomfort often arises from the need to make the right decision ( WHAT ). In business, the stakes can also be very high and the decision can therefore be difficult to make.

Think of a startup  presented to investors to raise funding. Investors are desperate for quality projects in which to invest and multiply their earnings.

What happens if they invest in the wrong startup?

In most cases, they lose their investment.

So, investors want to be sure before making such an important decision. They obviously cannot predict the future, but during the pitch presentation , they will probably try to figure out if the project aims at an interesting market, if the team is solid, if a useful problem is solved, if there is any evidence of the fact that people would pay to solve the specific problem, etc. ( View the ultimate guide to creating a brilliant startup pitch presentation ).

All these doubts must be clarified by those who present , otherwise they will, almost certainly, be the subject of questions and discussions.

In general, all these reflections are the obstacle that exists between the startup and it’s financing , hence the reasons that prevent the investor from making the investment decision.  I call them, “Resistances”.

Why are Resistances so important?

Simple.  If you know them, you can overcome them by including answers strategically within your presentation (see the Act strategically in your presentation with the Lean Presentation Design approach ).

If you are able to overcome   audience resistance during the presentation , you will have a good chance that your recommendation will be accepted.

Once you have clarified the action that you want your audience (WHO) to undertake following the presentation (WHAT), you are able to define a communication flow that allows you to overcome the resistance and communicate effectively (HOW).

Okay, I must always have a goal. Can’t I present just to inform?

I believe that a good presentation always has a goal and therefore a final call to action. Cole points out that, in certain organizational contexts, you may not be in a position to tell your superiors what to do, but that does not mean that you can’t  propose a moment of discussion supported by the results of your analysis (and this could be your call to action ).

I invite you to observe that all this is true, whether you are presenting in person or whether you are sending the document by email.

What changes is the level of detail in the contents.

If you present in person (live), you will have a greater control of the situation, as you will directly manage the interaction with the audience , and therefore you will need much less detail.

Can’t I take advantage of the slides to remember what I have to say later?

Absolutely not!

There is nothing worse than a speaker who does not know his speech and reads the side in front of everybody. What do you think every time someone reads his slides in front of you?

https://youtu.be/RYi8xWLJ8jQ

Do I have to memorize all the presentations I make?

No, after all it would be a hard work and I think that for many, it would be unsustainable . For example, I would have to undertake a huge effort to memorize a presentation .

Also, consider the moment when you are presenting, regardless of your ability to speak in public, as a moment of stress.

Under stress, memory is the first ally to abandon you.  You may find yourself in front of your audience without remembering what you have to say.

For this reason, I suggest you never learn the presentation by heart .

I personally support myself a lot with the PowerPoint presenter view mode.

Do you know how the presenter view works? I find it brilliant!

There were events where I cancelled the presentation due to the absence of the possibility of using this method.

With this mode, PowerPoint projects the current slide on the projector, and on your laptop; this allows you to see both the projected slide and the next one.

Knowing what comes next, it is easy to anticipate and give continuity to the speech . Anticipating the next slide, you will communicate security and ability to lead the discourse, unlike all those speakers who seem to be guided by their own slides.

So, prepare well, because you should have enough information at a glance on the presenter mode to continue talking; you certainly will not stop to look at the screen of your laptop in front of everyone. But do not memorize the presentation , it is both useless and far more risky.

It may happen that you arrive in the meeting room ready to project and come across an instrument called clickshare . When you start the wireless connection with the clickshare, you will not be able to start the presenter view mode and on both the screens (pc and projector), you will see the same slide.

If this is the case, do not despair. I found a simple enough solution to activate the presenter view even if you present with clickshare ( Enable Powerpoint presenter view using clickshare ).

So, focus on your audience , understand their resistance to your proposal, and define a communicative flow valid to overcome them without leaving any doubt.

Step #2: Choose an appropriate view

Cole focuses on 12 ways of presenting data in PowerPoint , commenting on those I think are more frequent in presentations and thus you may meet more frequently.

Simple text

If you have any numbers to present, it does not mean that you necessarily need to use a chart or a table.

Especially when it comes to small numbers, a good alternative is to play with text graphics and take advantage of the typography to solve the problem.

The following example is comparing how many users use the Instragram Stories compared to Snapchat (the numbers are for example).

At the top of the graph you will find a title and a subtitle, and below the graph you will find a comment explaining the message.

I’ll ask you a question: if you need all this text to explain the message, do you think the chart may not be sufficiently explanatory?

The alternative is presenting data in PowerPoint only using text, intelligently formatted.

Thanks to the use of the text, I immediately made the key message clear. I also synthesized the two numbers and highlighted their difference.

I hypothesized that the message was to communicate the strength of Instagram compared to Snapchat and thus, it was not important to keep absolute numbers.

I also highlighted some keywords that made the message stand out right away.

Do you ever have tables in your presentations ? When I was working in the marketing of a multinational in FMCG, it happened to me every day.

Ideally, it is not advisable to use tables within presentations , but my approach is very pragmatic and coming from the business world, I realize that it is a problem to be faced, not to be avoided.

For this reason, I dedicated one of my most read blog guides to this topic: How to create cool PowerPoint tables .

Cole simply suggests cleaning the tables as much as possible by highlighting the contents and eliminating edges and fills as much as possible.

I fully agree with the need to be able to focus on the contents and remove all the disturbing elements.

Excel allows you to apply conditional formatting to tables .

This is a good technique for quickly locating the highest or lowest numbers within the table . The colors will guide you.

I often find myself presenting data in PowerPoint leveraging Excel ‘s conditional formatting, especially in the exploration phase. That is when I analyze the data to find explanations for the events.

They help me extract the message from the numbers right away, and will help your audience understand you at a glance.

Scatterplot

A widespread graphic in the scientific and business fields.

It is mainly used to show the correlation between two variables such as, for example, the correlation between the price of lemonade and the temperature.

In this case, it would be really difficult to understand the correlation between these numbers by analyzing the table.

By plotting the numbers on a Scatterplot, the reports become clear at a glance.

The graph suggests that the price of lemonade grows as the temperature increases .

As you can see, this type of chart can be very useful even during the exploration phase, not just during the presentation phase.

Line charts are useful for comparing multiple sets of data that evolve  over time.

Take the trend of the market shares of a group of competitors.

Line charts can also be optimized by applying a series of small details that we will see later in this article.

Graphic that I have never seen in a presentation so I avoid commenting on it. If, however, you should be interested in further reading I recommend reading  Cole’s book .

A family of numerous charts with different types all very common in the business world and in presentations in general.

First of all, Cole is keen to underline the ethical use of this type of graphics in communication .

If you’re wondering how a chart can be used in an unethical way, that’s exactly what I asked myself the first time I read Data Storytelling .

I found this concept curious and that’s why I want to show it to you.

Imagine having two bars representing two percentages. I could tell you that the change from A to B was radical and brought an important increase.

However, if you look carefully at the axis of the ordinates, you immediately realize that it does not start from zero and this means that the difference between the two bars is much more pronounced.

What happens if I report the ordinate axis on a scale that starts from zero?

The difference between the two bars is greatly reduced.

Clearly, it is up to you to understand when and how to use this technique, Cole invites caution and exposes a rather curious example used in US politics in the second chapter of Data Storytelling .

The vertical bar graph is one of the most common to meet in presentations .

It works very well because it is easy to determine the length of one segment compared to another. The chart becomes more complex when you add more categories .

Another fairly common but more complex readability chart is the graph called “ Stacked vertical bar “.

Cole rightly points out the difficulty in comparing the segments with each other and I find myself in complete agreement.

These graphs can also exist in a horizontal version. Specifically, Cole claims that the horizontal bar graph is to be preferred over the vertical bar chart  because, people read from left to right and they are therefore easier to process.

I add that we, as human beings, are horizontal readers, and thus it is easier for us to read from one side to the other than from top to bottom (at least in the part of the world where I am). Given the importance of learning to lead the audience ‘s gaze in your slides, I spent some time doing eye tracking studies on presentations and published the results in the guide that explains how eye path control can dramatically improve presentations .

Finally, the dreadful waterfall chart, a nightmare of all first-time analysts for its complex feasibility through office apps over the years, can not be missed.

In reality, today it is very easy to carry out both in Excel and in PowerPoint .

One of the use in which I happen to see it often are long-term strategic plans, in which each category corresponds to one year and this chart shows the increases in performance from year to year.

There is also a PowerPoint addin historically known to facilitate the creation of Waterfall, called ThinkCell. See the video below.

Square area

Cole says that almost no area graphics are used, except for rare exceptions, because they are hard to read. I fully agree with the point and add that I almost never find them in a presentation . So let’s proceed with the next example and if you are curious, I encourage you to read Cole’s book .

How could it be that I’m just now talking about the pie chart ?  Didn’t you expect it to be among the first covered?

The reason is simple and is related to the fact that Cole does not fully endorse this type of chart .

Look at the cake below and tell me what the biggest slice between C and D is, in your opinion?

The question is not difficult, it is the answer that becomes very difficult in a situation where you can not match one segment with another unless you insert the data labels on the slices.

For this reason, Cole suggests not using 3D, and I add that 3D is a concept that should be forbidden in presentations in most cases. It does not add value, it wastes time and the results obtained are always mediocre.

If we look at the above chart in 2D, it becomes easier to identify the smaller slice, in my opinion.

For this reason, unlike Cole, I do not completely exclude the use of pie charts , but I invite you to use them, always making a check that you can clearly perceive the relationships between the slices (which is bigger).

One last comment goes to the management of the secondary axis, but I will comment it only if you ask about it in the comments of this post. The first one who requests it in the comments will have an explanation and a recommendation.

Step #3: Eliminate the confusion

You are monitoring the performance of your company’s market shares compared to the two main competitors in the 4 quarters of the year just ended.

A and B are the competitors with whom you compare. To better visualize the context, I decide to plot the table using lines.

Does this chart seem clear to you?

If you think about it for a moment, this is exactly the default result that Excel returns to you when you chart that table.

How can you optimize it to improve its visual effectiveness?

Begin by removing the edges of the graph that do not add any value and generate noise.

In the same way, remove the grids .

See how the lines already stand out compared to before, when they seemed to be caged in the grid?

Eliminate markers that do not add any value. As Cole rightly points out, markers are not forbidden and we are not recommending you to always delete them, but to use them only when you really need them.

To delete them, you must change the type of chart .

The result is a much cleaner and slimmer chart .

Now, apply a color that highlights your company over the others.

Emphasizing your company is essential to put the line at the center of attention, but A and B that have remained the background are now virtually indistinguishable through the legend.

Also, reading the legend below and then taking your eyes back to the right curve on the chart is a waste of time .

Do not let the eyes of your audience search, make sure they already have the information close and easy to find .

Give the lines the name , consistent in color , positioned at the end of each line. By doing so you could also eliminate the legend that did nothing but add to the confusion.

Finally, add the numerical labels and delete the ordinate axis .

Make consistent colors , which link numbers, lines and text labels.

Have you seen how, a few simple tricks, can radically change the readability of a chart ? I’ll let you compare the “before” and “after” with the next image .

Clean up your charts following the same logic as Lean Presentation Design : use only the elements that are used for communication, eliminate embellishments.

Step#4: Draw attention wherever you want

The attention of the audience is mainly attracted by the contrast that you can create , for example but not only, with an intelligent use of colors .

As part of this example I have kept the focus on your company by highlighting the curve over time thanks to the application of the main color .

If instead I wanted to talk about the explosive growth of competitor A, how would you have been able to draw attention to its curve?

You could have created a strong detachment thanks to the use of the complementary color to the main orange.

In this example, we can clearly see, like the same graph , the same numbers, can be presented according to certain messages according to the elements that are being highlighted. I’ll let you read Cole’s book which extensively illustrates various techniques to create visibility around certain elements rather than others.

Step#5: Think like a designer

In 1979 James Gibson in “An ecological approach to visual perception” defines the concept of “Affordance” (invitation to use) as the physical quality of an object that suggests to a human being the appropriate actions to manipulate it.

A small cup with a side handle suggests holding the handle as a floor suggests walking on it.

Basically, every object, if properly conceived should not leave doubts about its use.

When you optimize the user experience in your presentations thanks to Neuro Presentation Design you are making slides so intuitive that they could not be understood in any other way.

Can you do the same thing on the charts ?

I would say yes!

Look at the chart we’ve drawn previously

Is the way in which it is to be read absolutely clear? That is, is the message revealed at a glance?

In my opinion, not yet.

Try to reprocess the title as follows.

Take advantage of the main color to create contrast and similarity (How to take advantage of 4 basic design principles to dramatically improve your presentations ).

Finally, Cole suggests using the principle of alignment to create uniformity and cohesion in the chart lines.

For you this translates into the alignment to the left of the title.

Unlike the previous step, thinking like a designer means designing with the needs of the end user in mind.

The goal is to draw so well that you do not leave doubts about the message you want to pass.

  Step#6: Tell a story

By now it is quite recognized that stories have an enormous communicative force in the world of communication.

To be precise, I do not share the idea of ​​always introducing a story within each presentation . Now we see presenters entering the meeting room and telling personal stories, jokes, etc. Thinking this is essential to awaken the audience at the beginning of the presentation .

Although it is certainly correct to try to grab the audience at the beginning because after a few minutes it may already be too late.

The real strength of the stories lies in their narrative structure that, if applied to a presentation or a chart , makes the difference seriously ( Storytelling techniques for presentations – Bosch case study ).

Cole and I use two different storytelling models , but we both agree on the main elements behind an effective narrative structure:

• introduction of a context and a protagonist
• presentation of the crisis , of the problem that forces the protagonist to undertake a path of change
• development of the plot that forces the protagonist to acquire new skills or create a new perspective to solve the problem
• final part of the story

How does this apply to the world of graphics ?

Simply telling the facts in the footsteps of an interesting narrative thread.

Follow me that I show you the example.

Initially you could introduce the context of your company that is not going very well compared to its competitors and that there is one in particular that is growing in a worrying manner.

In reality, competitor A only grows for the launch of a new advertising campaign and you feel that the effect will not last long. Your company, on the other hand, has no structural flaws for which it should cede further market. In fact, already in the second quarter we can see a stabilization of the shares. For this reason you propose to stay focused on the long term and to ignore peaks in the short term .

The long-term strategy gives you reason and rewards

In summary I used two more slides with the slightly modified graph (in PowerPoint ) to tell you the story of what happened.

Conclusions

Charts and tables can be phenomenal tools to presenting data in PowerPoint . However, they are often used inefficiently and this causes frustration in the audience and the ineffectiveness of the communication itself.

In Data Storytelling , Cole offers a methodology that goes well with the Lean approach to presentations .

The approach is based on 6 steps of optimization:

• Understand the context
• Choose an appropriate view
• Eliminate the confusion
• Draw attention wherever you want
• Think like a designer
• Tell a story

Have you already tried this methodology to better presenting data in PowerPoint ? Let’s leave a comment, then we’ll talk about that .

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How to Present Data in PowerPoint

Maurizio La Cava

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Table of Contents

A Guide to Effective Data Presentation

Key objectives of data presentation, charts and graphs for great visuals, storytelling with data, visuals, and text, audiences and data presentation, the main idea in data presentation, storyboarding and data presentation, additional resources, data presentation.

Tools for effective data presentation

Financial analysts are required to present their findings in a neat, clear, and straightforward manner. They spend most of their time working with spreadsheets in MS Excel, building financial models , and crunching numbers. These models and calculations can be pretty extensive and complex and may only be understood by the analyst who created them. Effective data presentation skills are critical for being a world-class financial analyst .

It is the analyst’s job to effectively communicate the output to the target audience, such as the management team or a company’s external investors. This requires focusing on the main points, facts, insights, and recommendations that will prompt the necessary action from the audience.

One challenge is making intricate and elaborate work easy to comprehend through great visuals and dashboards. For example, tables, graphs, and charts are tools that an analyst can use to their advantage to give deeper meaning to a company’s financial information. These tools organize relevant numbers that are rather dull and give life and story to them.

Here are some key objectives to think about when presenting financial analysis:

• Visual communication
• Audience and context
• Charts, graphs, and images
• Focus on important points
• Design principles
• Storytelling
• Persuasiveness

For a breakdown of these objectives, check out Excel Dashboards & Data Visualization course to help you become a world-class financial analyst.

Charts and graphs make any financial analysis readable, easy to follow, and provide great data presentation. They are often included in the financial model’s output, which is essential for the key decision-makers in a company.

The decision-makers comprise executives and managers who usually won’t have enough time to synthesize and interpret data on their own to make sound business decisions. Therefore, it is the job of the analyst to enhance the decision-making process and help guide the executives and managers to create value for the company.

When an analyst uses charts, it is necessary to be aware of what good charts and bad charts look like and how to avoid the latter when telling a story with data.

Examples of Good Charts

As for great visuals, you can quickly see what’s going on with the data presentation, saving you time for deciphering their actual meaning. More importantly, great visuals facilitate business decision-making because their goal is to provide persuasive, clear, and unambiguous numeric communication.

For reference, take a look at the example below that shows a dashboard, which includes a gauge chart for growth rates, a bar chart for the number of orders, an area chart for company revenues, and a line chart for EBITDA margins.

To learn the step-by-step process of creating these essential tools in MS Excel, watch our video course titled “ Excel Dashboard & Data Visualization .”  Aside from what is given in the example below, our course will also teach how you can use other tables and charts to make your financial analysis stand out professionally.

Learn how to build the graph above in our Dashboards Course !

Example of Poorly Crafted Charts

A bad chart, as seen below, will give the reader a difficult time to find the main takeaway of a report or presentation, because it contains too many colors, labels, and legends, and thus, will often look too busy. It also doesn’t help much if a chart, such as a pie chart, is displayed in 3D, as it skews the size and perceived value of the underlying data. A bad chart will be hard to follow and understand.

Aside from understanding the meaning of the numbers, a financial analyst must learn to combine numbers and language to craft an effective story. Relying only on data for a presentation may leave your audience finding it difficult to read, interpret, and analyze your data. You must do the work for them, and a good story will be easier to follow. It will help you arrive at the main points faster, rather than just solely presenting your report or live presentation with numbers.

The data can be in the form of revenues, expenses, profits, and cash flow. Simply adding notes, comments, and opinions to each line item will add an extra layer of insight, angle, and a new perspective to the report.

Furthermore, by combining data, visuals, and text, your audience will get a clear understanding of the current situation,  past events, and possible conclusions and recommendations that can be made for the future.

The simple diagram below shows the different categories of your audience.

  This chart is taken from our course on how to present data .

Internal Audience

An internal audience can either be the executives of the company or any employee who works in that company. For executives, the purpose of communicating a data-filled presentation is to give an update about a certain business activity such as a project or an initiative.

Another important purpose is to facilitate decision-making on managing the company’s operations, growing its core business, acquiring new markets and customers, investing in R&D, and other considerations. Knowing the relevant data and information beforehand will guide the decision-makers in making the right choices that will best position the company toward more success.

External Audience

An external audience can either be the company’s existing clients, where there are projects in progress, or new clients that the company wants to build a relationship with and win new business from. The other external audience is the general public, such as the company’s external shareholders and prospective investors of the company.

When it comes to winning new business, the analyst’s presentation will be more promotional and sales-oriented, whereas a project update will contain more specific information for the client, usually with lots of industry jargon.

Audiences for Live and Emailed Presentation

A live presentation contains more visuals and storytelling to connect more with the audience. It must be more precise and should get to the point faster and avoid long-winded speech or text because of limited time.

In contrast, an emailed presentation is expected to be read, so it will include more text. Just like a document or a book, it will include more detailed information, because its context will not be explained with a voice-over as in a live presentation.

When it comes to details, acronyms, and jargon in the presentation, these things depend on whether your audience are experts or not.

Every great presentation requires a clear “main idea”. It is the core purpose of the presentation and should be addressed clearly. Its significance should be highlighted and should cause the targeted audience to take some action on the matter.

An example of a serious and profound idea is given below.

To communicate this big idea, we have to come up with appropriate and effective visual displays to show both the good and bad things surrounding the idea. It should put emphasis and attention on the most important part, which is the critical cash balance and capital investment situation for next year. This is an important component of data presentation.

The storyboarding below is how an analyst would build the presentation based on the big idea. Once the issue or the main idea has been introduced, it will be followed by a demonstration of the positive aspects of the company’s performance, as well as the negative aspects, which are more important and will likely require more attention.

Various ideas will then be suggested to solve the negative issues. However, before choosing the best option, a comparison of the different outcomes of the suggested ideas will be performed. Finally, a recommendation will be made that centers around the optimal choice to address the imminent problem highlighted in the big idea.

This storyboard is taken from our course on how to present data .

To get to the final point (recommendation), a great deal of analysis has been performed, which includes the charts and graphs discussed earlier, to make the whole presentation easy to follow, convincing, and compelling for your audience.

CFI offers the Business Intelligence & Data Analyst (BIDA)® certification program for those looking to take their careers to the next level. To keep learning and developing your knowledge base, please explore the additional relevant resources below:

• Investment Banking Pitch Books
• Excel Dashboards
• Financial Modeling Guide
• Startup Pitch Book
• See all business intelligence resources
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Creative Ways To Present Data In PowerPoint That Engage Audiences

Table of contents.

There’s no shortage of creative ways to engage your audience when presenting data. It’s easy to slap numbers into a bar graph, present the information and call it a day! But will that have the desired impact on those you are presenting to?

In this article we are going to explore the options you have available to you using PowerPoint templates, what creativity can bring to the mix with regard to data presentation, and our recommendations on the next steps you should take if you need a presentation that is data heavy.

Always Understand Your Target Audience

Before you start constructing your presentation, ask yourself – how well do I know the audience I am presenting to? This understanding is critical as you want to produce a presentation that they will connect with. A financial analyst will consume data differently than a sales professional. You need to present data the way the room will connect with it best.

What Options Do You Have When Presenting Data In PowerPoint?

There’s  no shortage of options when creating a PowerPoint presentation  that will be showcasing numbers, PowerPoint has a wealth of charts and diagrams you can insert. 

You need to consider your options for the type of data that you will be presenting, so your point gets across. By knowing your audience and the type of data you want to use in your presentation, you are well on your way to selecting the right format in which to present it in. Below are a few common options PowerPoint offers:

Let’s start with a classic, charts! Charts come in many forms that are available to you. Read on as we explore the best DIY options you have to present your data in PowerPoint.

Line Charts

Line charts, everybody has seen a line chart! However, this always begs the question – are they overused? It’s hardly the sexiest way of displaying data, but it’s a clear and easy way of displaying trends. Up is positive, and down is negative. It certain instances, this is just what the doctor ordered.

Column Charts

Ah, column charts. Not to be confused with its older sibling the bar chart. Again, it’s a way of displaying data that is frequently used as it’s easy to digest and displays the data cleanly . It really doesn’t leave much to the imagination.

Pie charts are great, I mean who doesn’t love a good pie…chart? Ideal for segmenting items into a visual format. It’s typically a breeze to identify opportunities using a good old-fashioned pie chart.

Bubble Charts

Bubble charts are a brilliant way for you to highlight the distribution of data. Arguably one of the more visually appealing stock formats to display information available in PowerPoint.

Indicators, a simple and effective way of showing information through progression, targets that need to be met or showing a focus on where you want your company to be in the future.

Venn Diagrams

We love Venn diagrams for how simple but effective they are for displaying information like similarities, differences and the cross-overs between all the information. A simple, yet effective way to showcase your information and keep your audience’s focus on the detail that matter.

Use an area map if you want to put your information into the real world for your audience to engage with. Do you have locations you need to present? Any geography that would be beneficial for your presentation? This is where we recommend area maps as an interesting way of presenting data in PowerPoint.

Venturing Beyond PowerPoints Stock Features

The reason we wanted to lead you through the world of PowerPoint options is to highlight its versatility. Heck, we didn’t even cover them all off. With that being said, i t can take a significant amount of time to gain the experience you need just to work with the options everyone has available to them.

However, when you really want to make some noise, you need to venture outside what is available to EVERYONE and craft something unique . Check out below the difference that custom graphic design can make.

Here's One We Made Earlier For Dynamic Funds

Don't Be Afraid To Mix It Up. Think Outside The Spreadsheet!

It’s quite popular at the moment in PowerPoint design to mix up how you present data. Don’t feel restricted to a single format. Instead, perhaps use two different types of data presentation on one slide. It will make the data more attractive and interesting to the audience. For example, try using a bar chart on the left and a pie chart for different data on the right. Mixing and matching different styles is engaging.

Incorporate Motion Graphics

You can’t overstate the importance of movement in today’s presentation arena. We are inundated on a daily basis with motion and movements, from social media to streaming services everywhere. Knowing this, displaying a static chart on your next presentation could leave your audience not as captivated as they shoud be. It’s a simple solution, but adding motion graphics and animation to existing data can elevate your professionalism and “wow-factor.”

Check out a quick data visualization animation we created from a 2D static line graph.

Brand Consistency Is Key

It’s easy to get overly excited about your presentation and load it up with more information, graphs and pictures than you need. This is where your talking comes in handy, as we recommend that you display your data in a way that is easy for your audience to process through your unique style while talking about your information as you present. Keep your colours, fonts and graphs consistent throughout your entire presentation.

The financial industry understands the importance of data, figures, and graphs. Although a financial audience may be very savvy, it’s still important to present data in a powerful and meaningful way.

Here’s a great example of consistency that we created for ING Financial.

Only Draw Attention To Key Data Points

Stay focused, your presentation doesn’t need to contain every number you have in your database. Your slides are there to contain key information that supports the point you are there to make. It’s understandable that in certain situations a little more will be required, but on the whole, keep it simple. A crowded slide is an ineffective one. After all, you are there to tell the story , the presentation is your supporting act.

Overlay Data On Top Of Images

It’s incredibly simple, yet incredibly effective. A little creativity can go a long when it comes to bringing your point to life on the screen. Engaging presentations that contain financial information often contain an image or a video to provide context. Placing data over the top of an image that it represents helps to humanize it . Your audience makes the logical connection with the point you are trying to make as you’ve removed barriers. Check our the presentation we created for Brandpoint that did just that!

Creative Ways To Present Data In PowerPoint - Our Key Takeaways

Customized presentations are key when you want to connect with your audience. Investing time in learning PowerPoint, or any other presentation software is only going to get you so far. Usually, the time invested isn’t worth the product you get, if you do it alone. Your audience is savvy, they can tell how seriously you take yourself by what you present them.

It’s true, not all data needs to be over complicated and sometimes a simple chart is enough. However, consistency, intent, and sublime execution is noticeable. An investment in your sales/marketing/ financial presentation is an investment in you or your business and makes all the difference.

Need Help With Your Next Presentation?

We are Presentation Geeks, PowerPoint design specialists. We geek out about all things when it comes to presentations. Let’s connect and explore how our powerpoint presentation design services can cater to your specific industry that will blow your audience away.

Author:  Content Team

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Data Presentation Techniques that Make an Impact

Create beautiful charts & infographics get started, 10.05.2016 by anete ezera.

Presenting data doesn’t need to be boring. In fact, it is a great way to spice up your presentations and share important facts and figures with your audience. Data has the power to be engaging, persuasive and memorable.

If you have a compelling story to tell with data, you should present it in a clear and powerful way. We will help you get started with a few effective data presentation techniques!

If you’d like more information about designing great presentations, download our new eBook ‘How to Design PowerPoint Presentations that Pack a Punch in 5 Easy Steps.’

What Presentations Benefit from Data?

Data doesn’t necessarily make all presentations better, but certain types of presentations are prime for the incorporation of data visualizations:

• Sales Reports
• PR and Marketing Research
• Marketing and Advertising Campaigns
• Executive and CEO Presentations
• Educational Reports
• Political Speeches
• Annual Reports
• Shareholder Presentations
• Financial Reports
• Product Launches, and more!

Why Use Charts in Presentations?

Visuals make information stick in our brains . A study from the Wharton School of Business found that 67% of the audience surveyed were persuaded by verbal presentations that had accompanying visuals. Charts are great visual aids for multiple reasons:

• Charts are easy to read
• Charts are visually appealing
• Charts simplify complex information
• Charts make it possible to quickly make comparisons and spot trends
• Charts are memorable and make an impact
• Charts give your presentation credibility

How to Add Data to Your Presentation

1) define your message.

Before you can even think about adding data to your presentation, you need to ask yourself, ‘what story am I trying to tell?’ Once you have a concrete idea of what your message is, you’ll have an easier time crafting the right visualization to share with your audience.

2) Clean and Organize Your Data

Now that you know what point you want to make with your data, it’s time to make sure your numbers are ready to be visualized.   Every good data visualization starts with good data. Make sure your spreadsheet is formatted and labeled exactly how you want it. Think about the message you want to share with your data and get rid of anything that doesn’t help you tell your story.

Data that is clean and organized is easier to display and analyze. Here are five awesome free data analysis tools to help you extract, clean, and share your data.

3) Pick the Right Chart Type

We can’t emphasize enough how important it is to make sure you pick the right chart type for the data you want to present. While your data might technically work with multiple chart types, you need to pick the one that ensures your message is clear, accurate, and concise.

4) Simplicity is Key

Charts and graphs turn complex ideas or data sets into easy-to-understand visual concepts. Remember that your data is the star of the show, so keep it simple. Avoid visual clutter, excessive text, poor color selection, and unnecessary animations. Make sure your legend and data labels are printed in a large, visible font. You don’t want your audience to get distracted. Less is more!

5) Create a Narrative

People understand stories better than they understand spreadsheets. Craft a compelling story around your data to make it memorable. Find a way to drive emotion from the numbers. Give your audience something they can relate to and resonate with. Data visualization speaker Bill Shander offers five tips to make you a better data storyteller. 

6) Visualize Data with Infogram

Before you add data to your presentation you need to visualize it. While many presentation tools allow you to create charts , they often leave much to be desired. Infogram makes it easy to create beautiful, engaging data visualizations your audience won’t forget.

You can embed interactive and responsive data visualizations into your presentations if you’re using Bunkr or any other HTML based presentation platform. Or, if you upgrade to one of our paid plans , you can download static versions of your charts and graphs to enhance your work. You can even make the background of PNG downloads transparent so they slip seamlessly into your presentation.

Would you like to experience the full power of  data visualization ? Try Infogram for Teams or Enterprise for free! With a Team or Enterprise account, you can create up to 10,000+ projects, collaborate with your team in real time, use our engagement analytics feature, and more. Request your free demo  here .

7) Make a Handout

Leave your audience with a physical or virtual copy of your charts. This makes it possible for them to look at the numbers more closely after your presentation. It’s also nice to include extra information, beyond what you covered, in case someone wants to delve deeper into the material.

Now that you know how to add data to your presentations, it’s time to learn how to design a PowerPoint that really gets people talking. Download our latest eBook ‘How to Design PowerPoint Presentations that Pack a Punch in 5 Easy Steps’ – for free!

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How to create accessible charts and graphs with infogram, how to choose the best ai tool to create infographics, top 5 ai data visualization tools.

10 Superb Data Presentation Examples To Learn From

The best way to learn how to present data effectively is to see data presentation examples from the professionals in the field.

We collected superb examples of graphical presentation and visualization of data in statistics, research, sales, marketing, business management, and other areas.

On this page:

How to present data effectively? Clever tips.

• 10 Real-life examples of data presentation with interpretation.

Download the above infographic in PDF

Your audience should be able to walk through the graphs and visualizations easily while enjoy and respond to the story.

[bctt tweet=”Your reports and graphical presentations should not just deliver statistics, numbers, and data. Instead, they must tell a story, illustrate a situation, provide proofs, win arguments, and even change minds.” username=””]

Before going to data presentation examples let’s see some essential tips to help you build powerful data presentations.

1. Keep it simple and clear

The presentation should be focused on your key message and you need to illustrate it very briefly.

Graphs and charts should communicate your core message, not distract from it. A complicated and overloaded chart can distract and confuse. Eliminate anything repetitive or decorative.

2. Pick up the right visuals for the job

A vast number of types of graphs and charts are available at your disposal – pie charts, line and bar graphs, scatter plot , Venn diagram , etc.

Choosing the right type of chart can be a tricky business. Practically, the choice depends on 2 major things: on the kind of analysis you want to present and on the data types you have.

Commonly, when we aim to facilitate a comparison, we use a bar chart or radar chart. When we want to show trends over time, we use a line chart or an area chart and etc.

3. Break the complex concepts into multiple graphics

It’s can be very hard for a public to understand a complicated graphical visualization. Don’t present it as a huge amount of visual data.

Instead, break the graphics into pieces and illustrate how each piece corresponds to the previous one.

4. Carefully choose the colors

Colors provoke different emotions and associations that affect the way your brand or story is perceived. Sometimes color choices can make or break your visuals.

It is no need to be a designer to make the right color selections. Some golden rules are to stick to 3 or 4 colors avoiding full-on rainbow look and to borrow ideas from relevant chart designs.

Another tip is to consider the brand attributes and your audience profile. You will see appropriate color use in the below data presentation examples.

5. Don’t leave a lot of room for words

The key point in graphical data presentation is to tell the story using visuals and images, not words. Give your audience visual facts, not text.

However, that doesn’t mean words have no importance.

A great advice here is to think that every letter is critical, and there’s no room for wasted and empty words. Also, don’t create generic titles and headlines, build them around the core message.

6. Use good templates and software tools

Building data presentation with AI nowadays means using some kind of software programs and templates. There are many available options – from free graphing software solutions to advanced data visualization tools.

Choosing a good software gives you the power to create good and high-quality visualizations. Make sure you are using templates that provides characteristics like colors, fonts, and chart styles.

A small investment of time to research the software options prevents a large loss of productivity and efficiency at the end.

10 Superb data presentation examples 

Here we collected some of the best examples of data presentation made by one of the biggest names in the graphical data visualization software and information research.

These brands put a lot of money and efforts to investigate how professional graphs and charts should look.

1. Sales Stage History  Funnel Chart 

Data is beautiful and this sales stage funnel chart by Zoho Reports prove this. The above funnel chart represents the different stages in a sales process (Qualification, Need Analysis, Initial Offer, etc.) and shows the potential revenue for each stage for the last and this quarter.

The potential revenue for each sales stage is displayed by a different color and sized according to the amount. The chart is very colorful, eye-catching, and intriguing.

2. Facebook Ads Data Presentation Examples

These are other data presentation examples from Zoho Reports. The first one is a stacked bar chart that displays the impressions breakdown by months and types of Facebook campaigns.

Impressions are one of the vital KPI examples in digital marketing intelligence and business. The first graph is designed to help you compare and notice sharp differences at the Facebook campaigns that have the most influence on impression movements.

The second one is an area chart that shows the changes in the costs for the same Facebook campaigns over the months.

The 2 examples illustrate how multiple and complicated data can be presented clearly and simply in a visually appealing way.

3. Sales Opportunity Data Presentation

These two bar charts (stacked and horizontal bar charts) by Microsoft Power Bi are created to track sales opportunities and revenue by region and sales stage.

The stacked bar graph shows the revenue probability in percentage determined by the current sales stage (Lead, Quality, Solution…) over the months. The horizontal bar chart represents the size of the sales opportunity (Small, Medium, Large) according to regions (East, Central, West).

Both graphs are impressive ways for a sales manager to introduce the upcoming opportunity to C-level managers and stakeholders. The color combination is rich but easy to digest.

4. Power 100 Data Visualization 

Want to show hierarchical data? Treemaps can be perfect for the job. This is a stunning treemap example by Infogram.com that shows you who are the most influential industries. As you see the Government is on the top.

This treemap is a very compact and space-efficient visualization option for presenting hierarchies, that gives you a quick overview of the structure of the most powerful industries.

So beautiful way to compare the proportions between things via their area size.

When it comes to best research data presentation examples in statistics, Nielsen information company is an undoubted leader. The above professional looking line graph by Nielsen represent the slowing alcoholic grow of 4 alcohol categories (Beer, Wine, Spirits, CPG) for the period of 12 months.

The chart is an ideal example of a data visualization that incorporates all the necessary elements of an effective and engaging graph. It uses color to let you easily differentiate trends and allows you to get a global sense of the data. Additionally, it is incredibly simple to understand.

6. Digital Health Research Data Visualization Example

Digital health is a very hot topic nowadays and this stunning donut chart by IQVIA shows the proportion of different mobile health apps by therapy area (Mental Health, Diabetes, Kidney Disease, and etc.). 100% = 1749 unique apps.

This is a wonderful example of research data presentation that provides evidence of Digital Health’s accelerating innovation and app expansion.

Besides good-looking, this donut chart is very space-efficient because the blank space inside it is used to display information too.

7. Disease Research Data Visualization Examples

Presenting relationships among different variables is hard to understand and confusing -especially when there is a huge number of them. But using the appropriate visuals and colors, the IQVIA did a great job simplifying this data into a clear and digestible format.

The above stacked bar charts by IQVIA represents the distribution of oncology medicine spendings by years and product segments (Protected Brand Price, Protected Brand Volume, New Brands, etc.).

The chart allows you to clearly see the changes in spendings and where they occurred – a great example of telling a deeper story in a simple way.

8. Textual and Qualitative Data Presentation Example

When it comes to easy to understand and good looking textual and qualitative data visualization, pyramid graph has a top place. To know what is qualitative data see our post quantitative vs qualitative data .

9. Product Metrics Graph Example

If you are searching for excel data presentation examples, this stylish template from Smartsheet can give you good ideas for professional looking design.

The above stacked bar chart represents product revenue breakdown by months and product items. It reveals patterns and trends over the first half of the year that can be a good basis for data-driven decision-making .

10. Supply Chain Data Visualization Example 

This bar chart created by ClicData  is an excellent example of how trends over time can be effectively and professionally communicated through the use of well-presented visualization.

It shows the dynamics of pricing through the months based on units sold, units shipped, and current inventory. This type of graph pack a whole lot of information into a simple visual. In addition, the chart is connected to real data and is fully interactive.

The above data presentation examples aim to help you learn how to present data effectively and professionally.

About The Author

Silvia Valcheva

Silvia Valcheva is a digital marketer with over a decade of experience creating content for the tech industry. She has a strong passion for writing about emerging software and technologies such as big data, AI (Artificial Intelligence), IoT (Internet of Things), process automation, etc.

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Why presentation of data is important?

With the digitalization era, data went from scarce, expensive, and challenging to find to abundant, cheap, and complicated to process. That’s when the need for statistics presentation of data has emerged. Reliable and reasonable amounts of information were so vast that they were challenging to seize, store, understand, and analyze with traditional methods.

What Is Data Presentation?

Terabytes of unused data in a data center is a burden. If correctly processed, it can become digital gold. Similarly, your company or startup has valuable data, and data analysis presentation is the most convenient and attractive way to demonstrate your growth projections, monthly expenditures, revenue achievements, etc.

To present data effectively, you need to:

• Know how to illustrate the different methods of presentation of data;
• Determine the different types of graphs and diagrams and their uses;
• Represent a set of data using various data presentation methods.

If you feel or exactly realize that you lack knowledge and expertise in these points, we advise contacting a presentation design agency to have all numbers formatted and drawn in attractive pie charts, bar graphs, and all kinds of diagrams.

How to Present Data in a PowerPoint Presentation?

Methods of data presentation.

There are 3 main methods of data representation in PowerPoint:

We are here for a data PowerPoint presentation, so let’s focus on the last method. Graphical representation of data enables your audience to study the cause and effect relationship between two variables. It helps in easy and quick understanding of data for listeners of different preparation and knowledge levels.

Kinds of Graphs/Diagrams

Numbers have an important story to tell, and using a correct graph or diagram will nail this story:

• A bar graph is used to show relationships/comparisons between groups;
• A pie or circle graph shows the percentage effectively;
• A line graph is most useful in displaying data that changes continuously over time;
• Pictograph uses small figures of objects called isotopes in making comparisons (each picture represents a definite quantity).

This variety keeps your hands open to choice and improvisation. However, if this factor, on the contrary, restrains you from presentation design, you should address presentation services that make both PowerPoint and Google slides design .

Data Presentation Tips

Presenting data on slides should follow specific principles to remain informative while visually attractive:

• Only show the data you’re talking about;
• Don’t just copy and paste a big Excel table;
• Never present a single number;
• Highlight 1 focal point per slide;
• Charts and graphs are pictures and should tell stories;
• Use colors;
• Use consistent formatting;
• Use appropriate chart types;
• Use stickers to protect yourself.

Nobody likes too many boring numbers, and data by itself is useless. Use these tips to make it more friendly to the audience, and your audience will appreciate your effort.

Let’s Sum up

Presenting data seems like a complex task, but mastering it will show your diligence and expertise. Remember, your job as a presenter is to help your audience cut through all the noise. You must help them interpret the data in a meaningful way. Use today’s information when it comes to visualizing data by incorporating charts and graphs into a presentation everybody understands and story persuading anyone.

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Presenting about data to your board: 6 tips from experts

Dylan Walsh

Sep 6, 2022

A strong data strategy is essential to be competitive. Companies refer to data nearly 80% more often in annual reports than they did in 2017, according to a recent report . And roughly half of companies surveyed had hired a chief data officer in the last two years — someone at the C-Suite level or just below who is responsible for the company’s strategic approach to data.

“Data is increasingly an asset that has both value and risk,” said Maria Villar, head of enterprise data strategy and transformation at German software company SAP.  Given the rapidly growing strategic importance of data, it is critical that CDOs not only do their job well but communicate effectively about their work. “Having an effective data strategy and then communicating it to important constituents, like your executive board, is a key to success,” Villar said.

At the recent MIT Chief Data Officer and Information Quality symposium , Villar moderated a panel featuring Ellen Nielsen, CDO at Chevron, and Denise Letcher, executive vice president and CDO at PNC Bank, discussing ways to craft a presentation about data strategy. The panelists stressed preparing early, catering data presentations to reach different audiences, and the importance of connecting to key business goals and telling compelling stories.

While the discussion focused on communication with boards, the key takeaways pertain to any set of important stakeholders.

Be prepared

Start early, said Letcher, who begins work on her annual business updates two months in advance. She begins by reviewing past presentations; Letcher has been PNC’s chief data officer for nearly seven years. “I have themes that I know the board likes to hear about,” she said. “I want to make sure I carry those forward.”

She also works closely with other teams to refine different dimensions of the presentation. Her boss provides “invaluable feedback” on the high-level topics; her managers review the content; the communications team helps her create a strong executive-level presentation.

Beyond the specific content of one’s own presentation, Nielsen pointed out the value of knowing where she fits during the meeting. Who is scheduled to present before and after? What might be the general mood of the meeting based on the topics under discussion?

“Typically, there are certain people who are preparing the content on the agenda, and they know very well what’s going on that day,” Nielsen said. She suggested finding this person and getting as much information as you can — it’s good to know what’s on the mind of the board members as you go in to talk.

CDOs must also stay abreast of salient issues beyond the company’s borders: How does data management fit with potential changes on the horizon? Letcher noted that board members, who tend to be active news consumers, often inquire about how CDOs are using their role to respond to industry shifts. Letcher, for instance, is keenly attuned to the overlap between her role and upcoming climate regulation.

Finally — it almost goes without saying — “practice, practice, practice,” Letcher said. Run through the presentation alone; test it on select groups for feedback. Be sure you have confidence in both your prepared remarks and your ability to answer questions.

Tell stories with broad relevance

It is important to connect the work of data and analytics to larger business objectives, Letcher and Nielsen said. Audiences like a board of directors are typically not interested in the details of specific projects or processes, and they don’t need to know what a CDO has been doing day-to-day or month-to-month. Rather, they care about outcomes — how the application of data and analytics is advancing business objectives.

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“You want to step back and say, ‘How is data helping the overall company?’” Letcher said. If one slice of data proved essential to a recent merger and acquisition, for instance, then tell that story and clarify the value that is generated by good data. You want to explain how data is enabling the business strategy, she said.

As the audience for these presentations moves deeper into the organization — from the board, to leadership, to lower managers — the need for detail increases. The outcomes also grow more specific: from top-level business strategy to how data and analytics are supporting a particular unit or function. Budgetary questions and financial details become more relevant.

Competitiveness is another important topic of discussion, Nielsen said. When describing the strategic role of data within your company, benchmark these descriptions against competitors. What are you doing better? In what ways do you need to catch up? When describing areas for improvement, be sure to outline the most effective levers of investment.

Regardless of audience, Nielsen and Letcher highlighted the importance of stories and anecdotes. “I put a lot of effort in [finding] the right stories to share,” Nielsen said. “I look for stories that tell about new things, or where the organization tried something new and really overcame an obstacle and created tremendous value. These are the best.”

Don't forget the finer points

Alongside big picture issues of how to prepare for and organize a presentation, Nielsen and Letcher provided tips on the fundamentals, from how to frame the conversation to how many slides to create.

• Be explicit about why you’re there. If you’re there to provide an update, say that. If you’re there to ask for approval, say that. Nielsen suggested that if you’re there for an “ask,” give the board options rather than asking for a single outcome.
• Assume 10 to 20 minutes for the key messages. This means on the order of 6 – 8 slides. Present an executive summary with the main points first. And, whatever you do, don’t read from the slides. That’s “the kiss of death,” Letcher said.
• Prepare for questions . Think about the questions you may get in advance. Have dates in mind so that you can speak to chronology. Don’t be afraid to ask for more time if you don’t have an answer: “I’ll get back to you,” is a perfectly fair response.
• Don’t use acronyms. If you absolutely need to use one, define it first.

It’s also important to remain confident — even if people come and go or appear distracted. “Recognize that you are the subject matter expert,” Letcher said. “They rely on you.”

Read next: The next chapter in analytics is data storytelling

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Presenting data

Subject: Chemistry

Age range: 11-14

Resource type: Lesson (complete)

Last updated

21 August 2024

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This fully resourced lesson on presenting data is designed to help Year 7 students develop their understanding of how to present data clearly and concisely using tables, charts, and graphs through clear explanations and engaging activities .

This is the 4th in a series of lessons and covers the AQA KS3 Enquiry skill 2.4 Present data and the Activate 1 (OUP) Enquiry processes 1: EP3 Collecting, recording, and presenting data lesson.

The lesson includes all necessary resources, making it easy to implement in your classroom and the lesson’s text is editable, allowing you to adjust the duration and depth of the activities based on your students’ progress and time constraints.

Presentation contains (33 slides) : ● Lesson prep and materials guide : Clear guidance for preparing the lesson. ● Student worksheets/handouts : All the printable materials needed for the lesson. ● Do Now activity : Starter activity to refresh students’ memory and introduce the upcoming lesson. ● Clear lesson aim, objectives & success criteria : Provides students with a clear understanding of what they’ll learn and how to show their understanding. ● Warm-up slides : Thought-provoking prompts and questions to introduce the topic. ● Information slides : Differentiated content catering to a range of learning styles and abilities. ● Engaging group activities : Differentiated activities that encourage students to collaborate, participate actively, and deepen their understanding of the topic. ● Questions with answers : Questions with three difficulty levels to cater to different learning styles and abilities. Answers are provided, making them perfect for self-assessment and creating clear, effective notes. ● Homework activities : Differentiated homework tasks to cater to various learning styles and abilities. These activities are designed to reinforce key concepts from the lesson while promoting independent learning.

Aimed at a mixed ability Year 7 class, with three levels of demand to cater to different learning styles and levels : ● K- Know (low demand) ● A- Apply (standard demand) ● E- Extend (high demand)

This lesson is also available as : ● Cover lesson worksheet : Perfect for unplanned absences, this version provides everything a cover teacher needs to deliver a smooth and engaging lesson. Presenting data Cover lesson ● Digital worksheet : Perfect for absent students, distance learning, or independent study, this digital version allows students to catch up on missed work at their own pace. Presenting data Distance learning

If you require more assistance, please contact me at- [email protected]

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Get this resource as part of a bundle and save up to 38%

A bundle is a package of resources grouped together to teach a particular topic, or a series of lessons, in one place.

KS3 Working scientifically (Activate 1 & 2)

**13 presentations covering the AQA KS3 Activate Enquiry processes chapter. Students work through a variety of tasks to develop their understanding of the scientific method.** **Each presentation contains**- * Bell work activity * Lesson objective and success criteria * Information slides * Challenge activities (group work) * Practical activity (where appropriate) * Demonstrate understanding tasks (with answers) **Please note: (Kerboodle) worksheets from scheme are not included due to license.**

Enquiry processes 1 bundle (Activate 1)

**Series of presentations covering the Year 7: Enquiry processes chapter of the Activate scheme in which student develop an understanding of the scientific method.** Aimed at a mixed ability Year 7 class. **Presentations contain**- • Bell work activity • Lesson objective and success criteria • Information slides • Challenge activities (group work) • Practical activity (where appropriate) • Demonstrate understanding tasks (with answers) • Peer and self-assessment *All presentations are also available as digital worksheets, which are ideal for independent study or catch-up of missed work through absence.* **Please note: (Kerboodle) worksheets from scheme are not included due to license.**

Presenting data Lesson bundle

**This 3-in-1 lesson bundle provides everything you need to teach presenting data in the classroom, for cover teachers, and for students learning remotely. Presenting data is designed to help Year 7 students develop their understanding of how to present data clearly and concisely using tables, charts, and graphs; the bundle includes three convenient formats – all fully editable to fit your specific needs**: ● **Teacher-led lesson** (PowerPoint Presentation): ○ Engaging, ready-to-use presentation. ○ Includes everything you need for an effective lesson (instructions, activities, worksheets, etc.) ○ Fully editable, allowing you to customise the content to fit your teaching style and students' needs. ● **Cover lesson** (Word Document): ○ This printable cover lesson resource provides clear instructions and engaging activities for students to work independently with minimal supervision. ○ Minimal prep required – simply print and go! ○ Fully editable, allowing you to customise the content to fit your teaching style and students' needs. ● **Digital worksheet** (Google Doc Recommended): ○ Perfect for distance learning, independent study, or catching up on missed work! ○ This interactive worksheet guides students through the learning objectives with clear explanations and engaging activities. ○ This resource is best used in Google Doc™ format. While it can be converted to Word/Excel, some tasks may not function properly in these formats). **All three formats come with all the necessary resources, making them easy to implement in your classroom. Plus, they're fully editable, allowing you to adjust the activities' length and difficulty to match your students' progress and time constraints**. This lesson is the 4th in a series of lessons and covers the AQA KS3 Enquiry skill 2.4 Present data and the Activate 1 (OUP) Enquiry processes 1: EP3 Collecting, recording, and presenting data lesson. Aimed at a mixed ability Year 7 class. If you require more assistance, please contact me at- [email protected]

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Lantheus to present additional clinical data from phase 3 pivotal splash trial in psma-positive metastatic castration-resistant prostate cancer during esmo congress 2024.

BEDFORD, Mass., Aug. 20, 2024 (GLOBE NEWSWIRE) -- Lantheus Holdings, Inc. (“Lantheus”) (NASDAQ: LNTH), the leading radiopharmaceutical-focused company committed to enabling clinicians to Find, Fight and Follow disease to deliver better patient outcomes, today announced that Oliver Sartor, MD, Director of Radiopharmaceutical Trials and Professor of Medical Oncology at the Mayo Clinic in Rochester, Minnesota, will deliver an oral presentation, including additional clinical data from PNT2002’s initial December 2023 readout, during the European Society of Medical Oncology (ESMO) Annual Meeting in Barcelona on Sunday, September 15, 2024.

Title: Efficacy of 177 Lu-PNT2002 in PSMA-positive mCRPC following progression on an androgen-receptor pathway inhibitor (ARPI) (SPLASH)

Presentation Number: LBA65

Lecture Date and Time: Sunday, September 15, 2024, 14:45 (CEST), 8:45 a.m. (EDT)

Room: Valencia Auditorium – Hall 5

Presenter: Oliver Sartor, MD, Director of Radiopharmaceutical Trials and Professor of Medical Oncology at the Mayo Clinic in Rochester, Minnesota

About 177 Lu-PNT2002 177 Lu-PNT2002 is a PSMA-targeted, lutetium 177-based radioligand therapy candidate that combines a PSMA-targeted ligand, PSMA-I&T, with the beta-emitting radioisotope no-carrier-added lutetium-177. Lantheus in-licensed exclusive worldwide commercialization rights (excluding certain Asian territories) to 177 Lu-PNT2002 from POINT Biopharma (a Lilly company) in December of 2022. In April of 2023, the FDA granted Fast Track designation for 177 Lu-PNT2002 for the treatment of mCRPC. Fast Track is a process designed to facilitate the development and expedite the review of drugs to treat serious conditions and address unmet medical needs.

About Lantheus Lantheus is the leading radiopharmaceutical-focused company, delivering life-changing science to enable clinicians to Find, Fight and Follow disease to deliver better patient outcomes. Headquartered in Massachusetts with offices in Canada and Sweden, Lantheus has been providing radiopharmaceutical solutions for more than 65 years. For more information, visit www.lantheus.com .

Safe Harbor for Forward-Looking and Cautionary Statements This press release contains “forward-looking statements” that are subject to risks and uncertainties. Forward-looking statements include, but are not limited to, statements relating to the potential of PNT2002 and statements regarding Lantheus’ expectations, hopes, beliefs, intentions or strategies regarding the future. In addition, any statements that refer to projections, forecasts or other characterizations of future events or circumstances, including any underlying assumptions, are forward-looking statements. Forward-looking statements may be identified by their use of terms such as "development,” “expedited,” “will,” and other similar terms. Such forward-looking statements are based upon current plans, estimates and expectations that are subject to risks and uncertainties that could cause actual results to materially differ from those described in the forward-looking statements. Risks and uncertainties that could cause our actual results to materially differ from those described in the forward-looking statements include (i) the outcome of the SPLASH trial after full data is available; (ii) a delay in obtaining, or failure to obtain, a positive regulatory outcome from the FDA and regulatory authorities for PNT2002; (iii) the additional costs and risks associated with Lantheus’ ability to successfully launch PNT2002 as a commercial product; (iv) the market and patient receptivity to PNT2002 as a radiopharmaceutical therapy; (v) the existence, availability and profile of competing products and therapies; (vi) Lantheus’ ability to obtain and maintain adequate coding, coverage and payment for PNT2002; (vii) the intellectual property protection of PNT2002; (viii) POINT’s ability to successfully develop and scale the manufacturing capabilities to support the launch of PNT2002; and (ix) the risks and uncertainties discussed in Lantheus’ filings with the Securities and Exchange Commission (including those described in the Risk Factors section in its Annual Report on Form 10-K and its Quarterly Reports on Form 10-Q). The inclusion of forward-looking statements should not be regarded as a representation that such plans, estimates and expectations will be achieved. Readers are cautioned not to place undue reliance on the forward-looking statements contained herein, which speak only as of the date hereof. Lantheus undertakes no obligation to publicly update any forward-looking statement, whether as a result of new information, future developments or otherwise, except as may be required by law.

Lantheus Mark Kinarney Vice President, Investor Relations 978-671-8842 [email protected]

Melissa Downs Senior Director, External Communications 646-975-2533 [email protected]