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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.

If you need a quick method to create a data presentation, check out our  AI presentation maker . A tool in which you add the topic, curate the outline, select a design, and let AI do the work for you.

[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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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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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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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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Data Analysis Presentation Templates

All business people, entrepreneurs, and sales executives listen up every high-quality presentation should be based on reliable research and analysis tools. use these amazing free data analysis powerpoint templates and google slides themes to make sure your ppt hits the nail on the head..

Easy-to-Use Free Data Analysis PowerPoint Templates and Google Slides Themes for Simplifying Your Data!

• Data Science: For showing how data can answer big questions.
• Data Analytics: To explain how you’ve dug into the data.
• Data Cleansing: To show how you’ve made the data clean and accurate.
• Backup and Recovery: To teach people how to keep their data safe.
• Support Model Diagrams: For when you want to show how things work together.
• Applications of Data Science: To share how data science can be used in real life.
• Data Analysis Tools: To introduce the tools that help with data work.
• Easy to Change: You can pick different colors, shapes, and backgrounds.
• Ready for Any Screen: They work in both standard (4:3) and widescreen (16:9) formats.
• For Everyone: Whether you’re a student, a teacher, or a business person, these slides are for you.

We're here to help you!

What is a data analysis.

Data Analysis helps you inspect, clean, transform, and model data to discover useful information, informing conclusions, and support decision-making.

What are Data Analysis PowerPoint Templates?

You can use Data Analysis PowerPoint Templates to present data analysis information. These templates provide a framework for visualizing data analysis results and help presenters quickly create a visually appealing slide.

Where can we use these Data Analysis Slides?

You can use Data Analysis Slides in various ways, including presentations, marketing materials, reports, and as part of data science projects. You can also use them to visualize and explain data in classrooms and workshops.

How can I make Data Analysis PPT Slides in a presentation?

Choose an appropriate template for your presentation. There are many online templates available for free in Slide Egg. Ensure that the data you select is relevant to the topic and is presented in an easy-to-understand way. Suppose you want to learn how to use the PowerPoint tool. Visit Tips and tricks for detailed instructions.

Who can use Data Analysis PPT Templates?

Anyone can use Data Analysis PPT Templates to present data in a professional and organized manner. They are handy for businesses, researchers, and students.

Why do we need Data Analysis PowerPoint Slides?

Data Analysis PowerPoint slides provide the ability to quickly and effectively communicate the results of data analysis to an audience. These slides also include visuals, such as charts and graphs, to support the research.

Where can I find free Data Analysis PPT Templates?

Many websites offer free Data Analysis PPT templates. Slide egg is one of the best PowerPoint providers. Our websites' uniquely designed templates help you to identify trends, outliers, and correlations to identify potential areas for improvement.

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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.

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From Data to Insights: Data Visualization in PowerPoint

In the age of information, data is abundant. Whether you’re a business professional, a researcher, or a student, you often need to convey complex data in a clear and understandable manner. This is where the art of data visualization comes into play. Data visualization in PowerPoint can transform raw numbers into meaningful insights that resonate with your audience. In this blog post, we’ll explore the importance of data visualization and how to effectively use it in your PowerPoint presentations.

Why Data Visualization Matters

Data visualization is the practice of representing data through charts, graphs, and other visual elements. It’s an essential tool for turning data into insights for several reasons:

• Clarity : Visualizing data makes it easier to understand and interpret. A well-designed chart or graph can convey complex information more effectively than a table of numbers.
• Engagement : Visuals capture and hold your audience’s attention. They make your presentation more engaging and memorable.
• Storytelling : Data visualization helps you tell a story with your data. You can highlight trends, correlations, and outliers, providing a compelling narrative.

Choosing the Right Visualization

The first step in data visualization is selecting the right type of chart or graph for your data. PowerPoint provides various options, including:

• Bar charts : Great for comparing data across categories.
• Line charts : Ideal for showing trends over time.
• Pie charts : Useful for illustrating parts of a whole.
• Scatter plots : Good for showing relationships between two variables.
• Heat maps : Effective for displaying patterns and variations.

Choose the visualization method that best conveys your data’s message. Remember, not every data point needs a visualization; only use visuals for the most crucial information.

Design Principles for Effective Data Visualization

Creating impactful data visualizations in PowerPoint requires adherence to some design principles:

• Simplicity : Keep your visuals clean and uncluttered. Remove unnecessary elements that don’t contribute to the message.
• Consistency : Maintain a consistent color scheme and style throughout your presentation. This creates a cohesive look and reinforces your brand.
• Labeling : Always label your axes, data points, and any significant features. Clarity is essential to understanding the data.
• Color : Use color purposefully. Avoid using too many colors, as it can confuse the audience. Ensure your color choices are accessible for all viewers, including those with color vision deficiencies.
• Legibility : Ensure your text is readable, even when projected. Use a legible font size and style, and contrast your text with the background.

Telling a Data-Driven Story

Data visualization should be an integral part of your presentation’s narrative. Here’s how you can incorporate it effectively:

• Start with a Hook : Begin your presentation with an engaging data visualization that teases your main findings or insights.
• Contextualize : Provide context for your data. Explain what the numbers represent and why they matter.
• Use Data as Evidence : Use data to support your arguments and claims. Visuals make your case more compelling.
• Highlight Key Points : Emphasize the most critical data points using visual cues like color, size, or annotations.
• Summarize and Conclude : End your presentation with a summary visualization that highlights your main insights and conclusions.

Data visualization in PowerPoint is a powerful tool for turning raw data into actionable insights. By choosing the right visualization methods and following design principles, you can create engaging, informative, and persuasive presentations. Remember that the goal is not just to present data but to provide your audience with the tools they need to understand, interpret, and act on that data. So, from your next PowerPoint presentation onward, make data your ally in delivering impactful insights to your audience.

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25 Best PowerPoint PPT Chart & Graph Templates for Data Presentations for 2024

PowerPoint Charts and graphs for presentations help visual learners understand data quickly. They're perfect for presentations. Let's look at the very best PowerPoint chart templates from Envato Elements.

Discover top PowerPoint graph templates . Let's learn more!

Top 25 PowerPoint PPT Chart & Graph Templates From Envato Elements For 2024

Envato Elements is the best place to find premium PowerPoint chart templates . Take a look at some of the best PPT chart templates. These are all included with a subscription to Elements:

1. Annual Startup Infographic - PowerPoint Template

Let's start with this cool PowerPoint chart design template. Are you running a startup? Looking for chart ideas for presentation.

Check the graphs for business presentations in this template. A good graph presentation design is key for that. It's very easy to use and this could help you attract loads of customers.

This download features: 

• 60 total slides
• 30 slides light + 30 slides dark
• widescreen ratio 16:9
• easy to customize
• free font used

2. Maxim - PowerPoint Template

A strong PowerPoint chart design can land you your next business opportunity. Find a bunch of PowerPoint chart examples in this download. It's a multipurpose template that can be used for different kinds of businesses.

Present creative ideas, startup projects, educational learning and more. Free PowerPoint charts and graphs templates won't offer this much design quality. This PowerPoint chart template features: 

• 30+ total slides
• free web fonts used
• picture placeholders
• easy color change
• vector based icons
• free support 

3. Proposal PowerPoint Presentation Template

This PowerPoint chart template offers graphs for presentations. Data helps to support the thesis of the business concept. Show growth, revenue, or other data that'll attract investors or employers.

Use this PPT chart template! Make a winning proposal backed by data. Free PowerPoint charts and graphs templates won't offer this much design quality. 

4. Charts Modern & Clean Presentation

Modern and clean chart designs eschew flashy design and cluttered elements. That's precisely the style you'll see in this winning PowerPoint data chart template. Fill in any of the colorful slides with your data and present with success.

5. Data Charts PowerPoint Presentation

PowerPoint graph templates like the 198 options in this are flexible. Re-use them for any number of presentations without repeating yourself. Use the flow charts, bar charts, and stacked bar charts to present your data visually.

It's a great PowerPoint chart template!

6. Business Plan PowerPoint Template

Looking for professional and cool graphs in PowerPoint? Find some of the best PowerPoint charts ideas with this template. It comes with plenty of functional graphs for business presentations.

This graph presentation comes with infographic elements and icons. Use PPT chart templates like this one for real estate. It could also work for business funding request or marketing research.

7. Infographic Solutions PowerPoint Template

Looking for graphs for presentations? Free PowerPoint charts and graphs templates won't offer this much design quality. Instead work with this set of infographic solutions and charts for PPT.

It's a multipurpose collection of 42 graph and chart templates in PowerPoint. You'll find great PowerPoint chart examples. Start creating a stunning chart presentation with this download! 

8. Environment Infographic PowerPoint

This is great if you're looking for original graphs for business presentations. This environmental graph presentation template has illustrated PowerPoint chart examples. This might be one of the best PowerPoint charts.

This PowerPoint chart template features:

• customize elements, colors, shapes and charts
• HD 16: 9 widescreen slide format (1920×1080 pixels).

9. Organizational Data Chart Presentation

Modern organizations rely on data-driven charts and graphs for presentations. This way they can explain business conditions. Find PowerPoint charts and graphs that present critical data in an appealing way.

You've got a choice of colors, styles, and visuals. Start with a great chart template for PPT like this.

10. PowerPoint Chart Templates for PPT

Remember: data shines when you put it into a chart or graph. And it's even better when you use a template like this one. Work with area, line, bar, or stacked bar charts, the styles.

This PowerPoint chart PowerPoint is perfect for converting flat data. This pack is much better than any free PowerPoint chart templates you find online.

11. Creative Real Estate PowerPoint Chart Template

This is a great PowerPoint chart template for anyone in real estate. It can also give you plenty of PowerPoint chart ideas. Start working the cool graphs in PowerPoint included with this download.

This template comes with great graphs for business presentations. This PPT chart presentation includes:

• PPTX, PPT file
• 16:9 widescreen ratio
• 30 unique layout slides
• 400+ icon designs
• resizable and editable graphics and charts for PPT
• cool graphs in PowerPoint
• editable infographics 

12. Business Plan PowerPoint Chart Template

Get started with a modern graph presentation. This a beautiful design with functional and business focused chart ideas for presentation. It comes with infographic elements to use as graphs for business presentations.

This professional PowerPoint chart template includes: 

• Master slide layout
• 180 animated and unique slides
• full HD 16:9 ratio
• resizable vector elements
• professional, minimal and creative design
• free fonts used
• Excel linked smart art

13. Marketing - PowerPoint Chart Template

This multipurpose PowerPoint chart template is perfect for anyone in marketing. Use it also for business, creative, startup and educational PPT chart presentations. Grab your audience’s attention with professional and modern chart ideas for presentation.

PowerPoint chart and graph templates like this one feature:

• cool PowerPoint chart ideas
• vector based icons 

14. CLING - Simple Presentation PowerPoint Graph Templates

Looking for original PowerPoint chart ideas? CLING is a simple presentation chart PowerPoint template full of those. It has a professional, ultra-modern and unique design.

Cool PPT chart templates like this one can be used for any type of presentation. Work with graphs for presentations used in the 40+ unique slide designs. You won't get this much quality with free PowerPoint charts and graphs templates.

15. Chart Infographic Presentation Template

Check out this versatile presentation chart template. It's suitable for many different business and personal purposes. Use PowerPoint chart examples for pitch decks, marketing strategies or company reports.

Get plenty of PowerPoint chart ideas with this download. Create a unique PPT chart presentation with the editable 100 pages. This template has some of best PowerPoint charts and graphs!

16. Piekisu Charts - PowerPoint Graph Templates

Looking for PowerPoint chart ideas? Do you need versatile graphs for business presentations? This PowerPoint chart template is all you need.

Get lots of charts for PPT and chart ideas for presentations. You'll get 60 total slides full of cool graphs in PowerPoint. Work with the best PowerPoint chart templates! 

17. Creative Dark Simple Yellow Modern Business Plan

Laylo is the best way to share your message and ideas. This PowerPoint chart template comes with an original design. It's a versatile presentation template.

You can add all your PowerPoint chart ideas. It features 30 unique slide designs with cool graphs for business presentations. It's one of the best PowerPoint graph templates.

18. MUTI - Minimal Presentation Template 

Are you into minimalism? Work with a PowerPoint chart template like Muti. Create the best PowerPoint chart design with this unique template.

Engage with your audience with a design that comes with the right style. Let your minimalist PowerPoint chart ideas speak up for your work. This PowerPoint chart template features:

• full screen and responsive features
• vector elements
• easy to edit, insert images and change color
• full user guide 

19. Project Proposal PowerPoint Graph Templates

Create an engaging project proposal with graphs for business presentations. This is a clean, creative and modern PowerPoint chart template. Professional PPT chart templates come with everything you need.

Find the best chart ideas for presentations. This PowerPoint chart design comes with:

• 30+ unique slides
• 20+ color themes
• 4000+ icons pack
• 16:9 full HD ratio
• resizable and editable graphics
• free and fast support

20. Competitor Analysis PowerPoint Graph Templates

A professional competitor analysis must include graphs for business presentations. This PowerPoint chart template has everything you need. Find lots of amazing graphs for presentations and PowerPoint chart ideas.

Work with the infographic pack to create the best PowerPoint charts. You'll get 35 unique slides to work with. This PowerPoint chart template is a great place to start! 

21. Creative Light Green Blue Design Business

Looking for creative chart ideas for presentation? Check out the cool graphs in PowerPoint included in this template. Versatile PowerPoint graph templates like this one can be used for different purposes.

It could work for a cool pitch deck, marketing strategy or product portfolio. Find great PowerPoint chart examples. Add all your chart ideas for presentation to this cool template! 

22. Medika Infographic - PowerPoint Graph Templates

This professional chart template for PowerPoint is very easy to use. It comes with a set of medical illustrations. These will support your chart ideas for presentation.

You'll be working with 62 total slides. Choose between dark or light mode. You'll also find some of the best PowerPoint chart examples.

23. Data Visualization Report Presentation

Are you into data visualization? Then this PowerPoint chart template is for you. This will give you plenty of chart ideas for presentation.

Present your analytical findings and results with the best PowerPoint charts ideas. Free PowerPoint graphic templates aren't as customizable as this one. You'll get 38 unique slides, plus a selection of icons and illustrations.

Create the best PowerPoint charts with this download.

24. Creative Gray Navy Education Business 

Check out this versatile PowerPoint chart template. Professional chart templates in PowerPoint like this one are suitable for different purposes. Forget about ineffective free PowerPoint charts and graphs templates.

Create instead quality graphs for business presentations. This download features: 

• PPTX, PPT files
• 30 unique slides
• cool PowerPoint chart design

25. XHOTS - Digital Business Presentation

Last but definitely not least, here's XHOTS. This PowerPoint chart template is a new way to share your ideas and data. You'll get cool graphs in PowerPoint that are easy to edit.

Share your creative PowerPoint chart ideas and impress your audience. Forget about free PowerPoint charts and graphs templates! Upgrade to premium PowerPoint graph templates like this one. 

Free Premium Templates to Create a Chart Presentation

We have great news for you! Envato Elements has some top assets that you can try for free.

Get these premium PowerPoint chart templates now:

1. Bole - Free PowerPoint Chart Template

Here's an ideal multipurpose PowerPoint chart template with lots of graph designs. You'll find:

• full HD layout
• 213 unique slides
• 10 color variations
• fully editable vector icons
• creative image placeholders

As there are so many graphs to choose from, you can try a variety of slides with a chart.

2. Exhaustive - Chart Template for PowerPoint

This is a multipurpose data PowerPoint template. With this free graphic PPT , you'll get:

• 40+ unique slides
• help guide included
• light and dark themes
• handmade infographics
• fully customizable chart presentation

3. NOVUS - Multipurpose PowerPoint Graphic PPT

Looking for the best PowerPoint graph templates? Take a look at NOVUS and its myriad of diagrams. Decorate all the slides with a chart!

The different features include:

• easy to use file
• 280 vector icons
• 100 unique slides
• 12 color variations
• master slides for quick editing

4. Zapnu - Multipurpose Data PowerPoint Template

You can't go wrong with PPT graph templates like Zapnu. By downloading it for free, you can create a  chart presentation with:

• dark and light versions
• premade setup sections
• 3 premade color themes
• widescreen and standard formats

5. SpotON - Chart Template for PowerPoint

SpotON is one of the top PowerPoint graphic templates. As it's multipurpose, you can use it many times to present different ideas.

• full HD resolution
• 117 unique slides
• all elements are editable
• drag-and-drop image placeholders

How to Quickly Customize a Premium Graph and Chart PPT Template

Found your favorite PPT template? It’s time to customize it to match your style and to reflect your data. It'll only take 5 easy steps:

This template has a clean and professional design. It can be adapted for all industries. Let's start customizing it:

1. Choose Your Slides

To do this, open your template in PowerPoint, click on the View tab and select Slide Sorter . Hold the SHIFT key. Click on all the slides that you don’t want to use.

Then, right-click on them and select Delete Slide . Then switch back to the Normal view.

2. Customize Your Chart Data

Customize the chart data. Right click on a chart or graph and then select the Edit Data in Excel option. Once Excel opens, customize the information. Click Save when you’re done. 

3. Change Colors

Choose the Format Shape option. Then choose a different color under Solid Fill options.

4. Use Your Own Fonts

Customize the fonts used in the PowerPoint template. Click on any text. Then choose a different font from the drop-down menu.

5. Save and Present Your Data

Do this by going to File > Save . If you need to export it to other formats, such as a PDF. Do this by going to File > Save as .

5 Tips for Using Charts and Graphs in Your PowerPoint Presentation

There are so many possibilities when it comes to using PPT graph templates. If you find it overwhelming, we're here to help! Take a look at the following tips to design the perfect graphic PPT:

1. Use Different Types of Charts

There are so many different kinds of charts. Why settle with only one design? When using PowerPoint graphic templates, play with variety to keep your chart presentation dynamic.

2. Be Colorful

The best PPT graph templates are colorful. This doesn't necessarily mean that you have to use many different colors. Maybe just two or three, with a vibrant color that stands out from the rest.

3. Don't Limit the Graphs

If you're working with a data PowerPoint template, you probably have lots of information to explain. Don't be afraid to add many slides with a chart each.

Of course, you don't want to leave any key facts out. And at the end of the day, it's better to use visual aid than typing big chunks of text.

4. Animate Your Graphic PPT

Most premium PowerPoint graph templates come animated! But if you choose one that isn't, try adding some cool animations. When used right, these will help you keep the audience engaged.

5. Distribute the Charts Wisely

Again, you don't need to limit the amount of graphs you use. However, make sure to distribute them in a way that maintains the harmonious look and feel of your PowerPoint chart template.

Discover More Top Premium Microsoft PowerPoint Template Designs

We just went through some of the very best PowerPoint graph templates. If you'd like to explore more premium options, check out these top selections for 2024:

Learn More About Using Charts & Graphs in PowerPoint

Working with PowerPoint for data-driven presentations might be a bit intimidating at first. You need all the help you can get to present confidently.

On Envato Tuts+, we've got a library with the best PowerPoint resources. Start by checking out our PowerPoint tutorial guide . Go over some of the tutorials below. Become a complete master of the art of PowerPoint charts!

Learn skills that help you show data visually:

Top Premium PowerPoint Graph Templates on Envato Elements for 2024 (Unlimited Use)

You don't have to settle for simple PowerPoint chart templates. Data-driven presenters often turn to PPT chart templates like the ones featured here. It helps your audience understand it in a quick and effective way.

Get an Envato Elements subscription for a low monthly fee. You'll get access to premium creative assets such as web templates, stock images and videos, PPT graph templates , and so much more!

Enjoy unlimited access to these digital premium assets on Envato Elements. Download as many premium templates as you want.

Graph PPT Templates

Plus, now Envato Elements has introduced an AI-powered search feature ! This new tool allows you to input a description of your project to effortlessly locate the finest human-crafted resources.

Start creating your next presentation with an Envato Elements template!

Design a Presentation With PowerPoint Chart Templates Now

A data-driven presentation is a winner choice. And it's always easier to do when you use pre-built PowerPoint graph templates.

Don't be taken in by offers of free PowerPoint chart templates. A professionally designed chart presentation template will help you make a good impression.

Experiment with unlimited PowerPoint chart templates with a low-cost subscription to Envato Elements. Why not download your favorite PowerPoint chart templates today?

Editorial Note: This post has been updated with contributions from Brenda Barron , Daniel Strongin , Janila Castañeda , and Renata Martín Intriago . Brenda and Daniel are freelance instructors for Envato Tuts+. Janila is the Associate Business Editor for Tuts+. Renata is a staff writer with Envato Tuts+. 

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

About Maurizio

Comments on The definitive guide to presenting data in PowerPoint

Free PowerPoint Templates

If you looking for descriptive PowerPoint shapes or tables then these are some of the best one.

thanks for sharing. Please identify your guest post with a picture or it will be removed.

A.Savarimuthu

Good and informative . Simple to understamd

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Top 10 Big Data Analytics Presentation PPT Templates with Examples And Samples

Taranjeet Singh

The technology sector is witnessing a trend, that of Big Data. Businesses and companies are using this technology to analyze large datasets and extract meaningful information. Reports suggest that data services will touch $280.4 billion in 2028, growing at a Compound Annual Growth Rate (CAGR) of 16%.

That's why more and more companies are shifting towards implementing this technology in operations. However, to build robust big data strategies, companies need to draw a professional plan through which they can view each stage of implementation of the technology.

To resolve this pain point, SlideTeam has developed PowerPoint Decks & Templates to help these companies build and implement big data in their day-to-day work life. 

Generate big data reports using our PowerPoint Templates .

Benefits of Our Templates

• Lower Errors : These templates help you reduce errors in the process so that your team can achieve its goals.
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Prepare professional presentations on big data and analytics using our PowerPoint Templates .

Features of our PPT Templates

• They are user-friendly, which means they don't require an expert to use them. 
• These 100% customizable templates provide you with the desired flexibility to edit presentations. Additionally, the content-ready slides give you the much-needed structure.

Build big data framework using our PowerPoint Layouts .

Template 1: Big Data Analytics PowerPoint Deck

Educate your audience on big data analytics through our PowerPoint Deck. The first presentation showcases what big data is, and the second PPT Template focuses on big data facts. The third PPT Framework belongs to the approach of big data, and the fourth PPT Layout helps you display forecasts. The next themes highlight big data sources , and the seventh slide portrays the three Vs (velocity, variety, and volume) in a Venn diagram. The following PPT Preset will help you differentiate between small and big data by comparing their advantages on a single platform. This complete bundle will help your audience know more about big data; therefore, download it now.

Template 2: Big Data Analytics Social Media & More PPT 

Use the power of big data analytics to streamline your business using our PowerPoint Bundle. Start with the media, that is, showcase how social media can help you build big data analysis in the first slide. The focus then shifts to cloud technology to have real-time information and on-demand insights. As we move forward, the next slide will be on the web, and you can mention important points related to it. The fourth presentation highlights the IoT and describes its importance in a pie chart format to your audience. The following frameworks convey the message on databases, social network profiles, and more. 

Template 3: Turning Big Data Analytics to Knowledge PowerPoint Deck

Easily turn your big data analytics into a knowledge database using our PowerPoint Bundle. This deck begins with data analysis requirements, where you can mention points, such as minimizing data movement, using existing skills, and attending to data security. The second PPT Template depicts facts and figures on internal and external big data sources . The next slide is extensive to the second presentation as it displays tools for analyzing big data, such as discovery tools, BI tools, Hadoop, and many more. Then, find a PPT Framework dedicated to techniques for analyzing big data, such as sentiment analysis, classification tree analysis, machine learning, genetic algorithms, and regression analysis. 

Template 4: Data Driven Insights: Big Data Analytics across Industries PowerPoint Deck

Make data-driven decisions in the big data ecosystem using our PowerPoint Bundle. First of all, the presentation conveys information on big data analytics for optimizing decision-making with facts and figures. The second slide mentions benefits of big data analytics. The next PPT Framework depicts big data architecture by showing data sources, data storage, real-time message ingestion and stream data processing . Phases in the evolution of big data analytics, such as structured content, web-based unstructured content, and mobile/sensor-based content are also showcased.

Template 5: Big Data Analytics Architecture PowerPoint Bundle

Build complete big data analytics architecture with the help of our PowerPoint Deck. This deck starts with the conceptual view of big data reference architecture, showing unified information management, real-time analytics, and intelligence processes. Types of data incorporated in big data analytics, such as operational data, content, authoritative data, system-generated data, and historical data are depicted as well. As we move forward, there is a PPT Framework that portrays unified information management with high-volume data acquisition, low-latency data processing and multi-structured data. Real-time analytics also gets its place in the package, covering aspects such as speed of thought analysis, interactive dashboards, and advanced analytics. Download this complete PowerPoint Bundle for your organization to form big data analytics architecture .

Template 6: Big Data Governance PowerPoint Bundle

Governance is a crucial stage in every technology! This PPT Presentation Template starts with four challenges for big data governance with key points, such as volume, velocity, variety, and value. The second slide draws up a  roadmap for this ecosystem with a complete process: Understanding big data, defining proof of concepts and stakeholders, defining processes that turn into binary code, and sharing results. Specify which type of tool is best used in the big data environment also through the package.

Template 7: Half-Yearly Big Data Analytics Deployment Roadmap PowerPoint Slide

Make a plan to deploy big data analytics using our PowerPoint Theme. Showcase important points, such as driving value across the business, insight direct marketing, effective insight processes, 360 actionable insight, and big data management. Now, formulate the complete process from these points for easy audience understanding. 

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Template 8: Pipeline Framework for Big Data Analytics Processing PowerPoint Framework

Develop a complete pipeline framework for big data analytics processing using our PowerPoint Framework. This framing in a presentation format is format, and so is sharing it with your audience. It starts with data producers to ways to monitor the data, so generated.

Download Now!

Template 9: Project Proposal for Big Data Analytics PowerPoint Deck

Do you want to send a big data proposal to prospective clients but haven't found a professional tool? Explore our PowerPoint Deck. You can begin by sharing your context and solution in the first presentation. The next slide is meant for stating preliminary requirements of the proposal. Then, the complete deck mentions your approach in the form of analysis, requirements, model, and testing. As we move forward, you will find the PPT Slide portraying the activity flowchart with sub-points, such as business requirements, data collection, data preparation, production, model testing, and data modeling. Data processing is the critical piece in this entire process . Get the template now!

Template 10: Big Data And HR Analytics Dashboard PowerPoint Theme

When big data is blended with the human resource department, it provides immense growth opportunities. You can show the positive effect of big data in the HR ecosystem using our PowerPoint Layout. Begin by showing the employee count, attrition count, attrition rate, average age, and attrition by gender. Then, there is department-wise attrition, the number of employees by age group, and job satisfaction rating.

Template 11: Big Data Analytics User Behavior PPT Bundle

Display the full-fledged big data analytics using our PowerPoint Bundle. Start your journey in this deck with key elements of the big data analytics framework, such as strategies, algorithms, functions, and architecture. In the next presentation, you can portray the phases of the lifecycle with sub-points, like business problem formulation, data identification, data collection & filtration, data extraction, and many more. The slide also focuses on using big data for business growth with enhanced customer retention, concentration on targeted promotions, and innovation. Download this PPT deck to keep an eye on user behaviour analytics.

Template 12: Big Data Analytics for Cybersecurity PowerPoint Bundle

Cybersecurity is a worldwide threat! Big data can curb it to a large extent. Explore our PowerPoint Deck to make proper cybersecurity plans. The first presentation highlights the Banking and Financial Services Industry (BFSI) industry and showcases types of attacks in it, such as phishing attacks, cyber-physical attacks, IoT attacks, and many more. The next PPT Slide conveys the message of the role of big data in analytics and cybersecurity by predicting, preventing, detecting, and responding. Improve organizational cybersecurity with big data analytics by preventing malware attacks, monitoring data logs, and viewing risks through this template. 

Template 13: Big Data Analytics Application PPT Package of Slides

Apply big data analytics across formats to grow your business using our PowerPoint Bundle. The first PPT Template focuses on enhancing retail industry performance through big data analytics applications by showing how to leverage and impact. The second PPT Framework highlights the importance of big data in the healthcare sector by showing sub-points, like new vaccines, new trends, strategic planning, telemedicine, and fraud prevention. In the third presentation, the telecom industry is targeted to improve its function via big data through marketing campaigns, operational analysis, data monetization, and network optimization. 

Strengthen Your Work Process by Using Big Data!

In summary, our Big Data Analytics Templates are the powerhouse for your business to implement and use big data. We have mentioned decks and templates, such as big data analytics, turning big data analytics into knowledge, big data analytics architecture, and many more. Use each of them and see your business prosper.

Related posts:

• Must-Have Big Data Report Templates with Samples and Examples
• How to Design the Perfect Service Launch Presentation [Custom Launch Deck Included]
• Quarterly Business Review Presentation: All the Essential Slides You Need in Your Deck
• [Updated 2023] How to Design The Perfect Product Launch Presentation [Best Templates Included]

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