analytics presentation

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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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How to Create an Impressive Analytics Presentation Without Tearing Your Hair Out

“I want to know how my website is performing as my boss is asking me for our numbers last month urgently.” Can you prepare an analytics presentation for Thursday next week?

Sincerely, 

Stressed-out Client

Ever received a request like this on Friday afternoon from your clients when you’re wrapping up for the week? 

Before jumping into pulling numbers and creating charts, stop. Take a breath. 

It’s worthwhile to systematically break down the request and ask follow-up questions to ensure you’ve created a report fulfilling the request to a T. 

You’ll learn how to create an impressive analytics presentation for your clients without tearing your hair out. Read on! 

What is an Analytics Presentation? 

An analytics presentation compiles data metrics and insights from web analytics tools like Google Analytics, and Adobe Analytics collected in PowerPoint presentation slides or data visualization tools.

Business executives use these presentations’ data analysis and recommendations to review business performance and make strategic decisions. 

Your job, therefore, as an analyst, is to find and present relevant data and recommendations that will address the business concerns of the people reviewing the report and help them make decisions. 

Save time preparing for your next data analytics presentation with DashThis’s Google Analytics report template , gathering all essential web analytics metrics in a beautiful report to ace your next presentation.

5 Steps to Creating the Perfect Analytics Presentation for Your Clients

Step 1: ask questions to gather the correct information.

Don’t be afraid to probe further if you get a vague-sounding request from a client. Take the time to review their request and understand what they are asking. 

First, Sam Priddy from Tableau recommends writing down the request on paper or in your notes to understand the request and identify areas that need clarification. Ensure you and your client are on the same page when understanding requirements and scope. 

Once you’re clear, it’s time to dive deeper. Some questions to get you started:

• What is the objective of the meeting? Understand if the session influences any decisions, like pricing decisions, budget allocations or more. For example, a discussion on content marketing strategy for lead generation might need metrics on content marketing’s effectiveness at improving conversion rate and business revenue. 
• What’s the reporting period of the data? Are we looking at monthly, quarterly, or yearly data? 
• Who will be attending this meeting or reviewing the presentation?  Each audience group cares about different things. A VP of sales might care about net new revenue and overall sales pipeline, while a head of content might care about the bounce rate of a sales landing page, the number of qualified leads and partnerships acquired. Put yourself in different people’s shoes and ensure your report contains relevant information.
• What’s the desired outcome of the report? Are they looking for a summary of past performance, a pure presentation of numbers, or an interactive way to explore data in real-time to make optimization decisions? 

Tip: Present data effectively by asking yourself what metrics or outcomes each audience group cares about, what their stakeholders want from them and what they expect to see from the report. Research their roles and responsibilities, or ask your client for more information. 

With the answers to these questions, you can identify what information you need and what to discard from your report. Now you know how to approach your presentation and structure your report for maximum efficiency. 

Step 2: Establish Your Kpis

Now that you know the report’s objectives and who will be present at the meeting, ask yourself what KPIs and metrics provide the information your client needs. Good KPIs are always relevant to a stakeholder concern, business goal or marketing goal. A report from Mention and Livestorm details important marketing goals for companies in 2022 and examples of KPIs used to measure them.

How do you go about choosing KPIs from marketing and business goals? 

Let’s say your client has a business goal to build positive social proof and establish trust in their target market for their e-commerce store. 

Your marketing goal will then be to encourage more online reviews for them in the next 6 months, and you’ll use the number of online reviews from their website, visitors, on Google and on marketplace listings as a KPI to track your progress. 

Step 3: Create Your Analytics Dashboard

You could always present your data in a PowerPoint (PPT) slide deck or Excel spreadsheet. But if you’re looking to add that extra spice to your analytics presentation besides a well-formatted PowerPoint template and wow your clients, think about having your data in an interactive dashboard.

An interactive dashboard turns meeting attendees into active participants. They can analyze data for themselves, filter, sort and re-arrange data from nearly any angle. It also helps them follow along in your presentation, making the session more useful. 

Here’s how to create an interactive data visualization in minutes with DashThis.

Step 1: Sign up for an account with DashThis. Our free 15-day trial allows you to see if we’re the right fit for you.

Step 2: Choose from one of our pre-set report templates for you to build your report. Our reports include easy visualization functionality like pie charts and bar graphs for presentation design.

Step 3: Choose from over 40+ integrations and connect your digital marketing and social media tools in seconds.

Step 4:  Select the metrics to include in your report from DashThis’ preset widgets.

Step 5: Add as many data points as you need to set up your report. Once done, save your completed report as a template so you can reuse the template for future presentations with clients, saving even more time!

Tip:  Send your report to your client or people you know will be present at a meeting as a pre-read a few hours before the meeting. This helps you have more productive meetings and makes you and your client look good in front of everyone! 

Step 4: Include Action Points

Remember, data is only valid when synthesized and interpreted. 

Any data you include should answer the ‘So What’ question – what does this data point mean in the context of business goals, and what to do next? 

DashThis allows you to annotate graphs and metrics in your report with notes and comments; useful for summarizing key points, explaining anomalies and including helpful context.

Once you’ve contextualized the data, proceed to develop recommendations, especially if you’re involved in initiatives that influence these metrics.

• Organize multiple recommendations by priority 
• Assign owners for whoever is responsible for carrying out these recommendations
• Align on the next time you’ll review the metric. 

Step 5: Leave Room for Feedback and Discussion

A presentation is a two-way conversation. You’ll want to leave time for your audience to give feedback and ask questions about the data. 

Some tips on handling questions during a presentation like a pro: 

• Remember, the people you’re presenting to might be seeing the numbers you’re presenting for the first time. Take breaks while preparing the report to see it with fresh eyes or check in with your team to review for any points you may have missed. 
• Anticipate questions by reviewing the people’s roles at the meeting and what they’ll be looking for. 
• Use complete sentences in your headers to highlight what’s important in a chart. A chart about social proof can have the heading “The number of customer reviews across all channels increased by 200% in the last 12 months”. 
• Use annotations to highlight anomalies in the data, paying attention to spikes or dips in essential metrics. 
• Summarize the presentation with one key takeaway that directly answers the business concerns outlined in step 1. Your clients and stakeholders are busy, and doing the work to distill your presentation ensures it delivers more impact. 

Ultimately, you want to be so familiar with your data that you know it like the back of your hand.

Deliver Client Analytics Presentations Like a Pro

Following these 5 steps will equip you with all the tools you need to ace your next client presentation,

• Ask questions and clarify what is needed.
• Establish KPIs relevant to business goals and address stakeholder concerns
• Make your data interactive to aid comprehension 
• Answer the So-What question in your action steps and recommendations
• Anticipate questions and feedback 

And finally, you learn by doing. Every client looks for different things and has various concerns.

The more you work with them and seek feedback to improve, you’ll become known as the presentation master in no time. 

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Home Blog Design Understanding Data Presentations (Guide + Examples)

Understanding Data Presentations (Guide + Examples)

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

Table of Contents

What is a Data Presentation?

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

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

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

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

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

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

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

Real-Life Application of Bar Charts

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

Step 1: Selecting Data

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

The sales manager has highlighted these products for the presentation.

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

Step 2: Choosing Orientation

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

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

Step 3: Colorful Insights

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

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

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

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

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

Real-life Application of Line Graphs

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

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

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

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

Step 3: Connecting Trends

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

Step 4: Adding Clarity with Color

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

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

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

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

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

Real-Life Application of a Dashboard

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

Step 1: Defining Key Metrics

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

Step 2: Choosing Visualization Widgets

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

Step 3: Dashboard Layout

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

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

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

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

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

Real-Life Application of a Treemap Chart

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

Step 1: Define Your Data Hierarchy

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

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

Step 2: Choose a Suitable Tool

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

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

Step 3: Make a Treemap Chart with PowerPoint

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

Step 5: Input Your Data

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

Step 6: Customize the Treemap

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

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

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

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

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

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

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

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

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

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

Real-Life Application of Pie Charts

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

Step 1: Define Your Data Structure

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

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

Step 2: Insert a Pie Chart

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

For instance:

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

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

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

Step 03: Results Interpretation

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

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

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

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

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

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

Real-Life Application of a Histogram

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

Step 1: Gather Data

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

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

Step 2: Define Bins

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

Step 3: Count Frequency

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

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

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

Step 4: Create the Histogram

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

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

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

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

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

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

Real-Life Application of Scatter Plot

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

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

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

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

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

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

1. Fact Sheet Dashboard for Data Presentation

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

Use This Template

2. 3D Column Chart Infographic PPT Template

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

3. Data Circles Infographic PowerPoint Template

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

4. Colorful Metrics Dashboard for Data Presentation

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

5. Animated Data Presentation Tools for PowerPoint & Google Slides

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

6. Statistics Waffle Charts PPT Template for Data Presentations

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

7. Data Presentation Dashboard Template for Google Slides

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

8. Weather Dashboard for Data Presentation

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

9. Social Media Marketing Dashboard Data Presentation Template

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

10. Project Management Summary Dashboard Template

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

11. Profit & Loss Dashboard for PowerPoint and Google Slides

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

Overwhelming visuals

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

Inappropriate chart types

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

Lack of context

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

Inconsistency in design

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

Failure to provide details

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

Lack of focus

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

Visual accessibility issues

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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• the best web analytics presentation

How to Make The Best Web Analytics Presentation for Your Bosses

So you've got to make a   web analytics presentation  for  your bosses (no pressure!). For many   digital marketing   professionals or junior analysts, this can feel like a daunting task. How do you display and communicate the information? Which information do you include or leave out? How do you make it interesting?

First things first, make sure you've got the best possible tool to create your report. By using a web reporting automated tool like DashThis , you won't have to create your report from scratch every month and will have a good-looking, clear report to show off. 

Get this template with your own analytics data

You can create   SEO   reports , or a  Google Analytics report with all your   Google Analytics   accounts, any other   search engine   data, and  any other  online marketing   platforms, such as a social media report in no time. You even got preset report templates to get you started right away. 

Now that you're all set, here is the 6-step process I’ve used to deliver more effective presentations, shape my company’s marketing strategy, and earn the confidence of my bosses.

Step 1 - Discover the primary business concerns

Step 2 - find all the angles, step 3 - remove the non-essential, step 4 - prepare for derailment, step 5 - shape it into a story, step 6 - provide one key takeaway.

• Pro Tip - KPI Dashboarding for the win

If you are tasked with giving your bosses a "Google Analytics   overview presentation", or something of the sort, you are going to be stumped...big time. There are just way too many Google Analytics reports and   relevant information   to attempt to communicate it concisely. 

Your job is not to be a prophet that reads minds, interprets data, and translates valuable insight for all to revere. Your job is to find and present relevant data that will address their primary business concerns and help them make better business decisions.

So before you start, you first need to understand what the primary business concerns of your bosses are. Ask your bosses this two-part question and tailor your content to make it relevant to them:

"What's one question you wish you could get answered about our website?"

and "what's one thing you hope to learn from our website visitors?"

For example, let's say your bosses tell you that they want to find out:

Which markets the company is gaining organic e-commerce traction in? 

And, which blog content is actually driving business?

These questions will give your presentation focus and make it relevant to their primary business concerns. If you don't have direct access to the bosses you are presenting to, reach out to someone who works closely with them and who understands their concerns.

Once you've gotten context regarding the primary business concerns of your bosses, it's time to find the reports which will best address those concerns and provide insight. 

At this stage, you're not formulating your final   Google Analytics   presentation slides or practicing your delivery, you're simply acting like a detective to find all the possible reports which will answer their questions. Go for volume here, and try to explore as many angles as possible. 

Sticking with our examples above, let's look at how we can answer those questions:

1. Which markets is the company gaining organic e-commerce traction in?

Let’s go to our Custom Reports tab for this one:

...and look at organic e-commerce behaviour by city. You can also look at region or country depending on the scope of your business. 

Here’s what this Custom Report shows us: (Data taken from the Google Merchandise Store Demo Account).

It looks like New York had an increase in   Avg. Order Value, E-commerce   Conversion Rate, and Revenue, even with a drop in Sessions and Users. This might suggest to your bosses that a focused paid search, display campaign, new retail store, or partnership in those areas could be successful. (The numbers in the example above are too small to be statistically significant, but this is just for demonstration purposes). Ok, time to explore the second question...

2. Which blog content is actually driving business?

We’ll go back to our Custom Reports for this one:

In this custom report example, we're looking at which blog   Landing Pages   (website entry pages) led to a Goal Conversion. I recommend only including goals that have a dollar value associated with them (vs. behaviour metrics), but for the purposes of the example, this report would show us our top   Landing Pages   in the blog section of our website which led to a Goal Conversion.

Note: I also included Bounce Rate, Pageviews, and Avg. Time on Page to give us more context regarding the behaviour on each page, but don’t let this distract you from answering your bosses’ primary business concerns.

Now, let’s look at things from a different angle…

We now know which blog   Landing Pages   are leading to Goal Conversions, but what about the blog   Pageviews   that happen after someone has already landed on our site? 

We can use the Page Value metric here to give us the information we need.

Page Value will show us which content is the most valuable in relation to our goals, regardless of whether it was a   Landing Page   or not.

Remember, we're trying to uncover multiple angles here to give us the clearest overall picture before we even touch our   Google Analytics   presentation ppt (or a   Google Analytics   Reporting Tool   if you’re like me). This report gives us a second way to analyze the data so we can be more confident that what we are presenting is accurate and relevant.

Note: You must have monetary values assigned to your Goals in order for the Page Value metric to populate.

These are just 2 basic examples of different ways that you can slice and dice information to make your   Google Analytics   presentation relevant to your bosses. You can see that once we have a focus, it's easy to get to work finding the types of reports that will communicate the data effectively. 

If you're new to   Google Analytics   and have no idea how to create these reports, a quick Google and Youtube search will give you multiple examples, walkthroughs, and ideas to try out. Or visit   Analytics Academy   for free training and courses.

Once you've spent time brainstorming all the different types of reports and angles to represent the data, it's time to find the core narrative . What information is core to answering your bosses’ primary business concerns and what isn't?

It's easy to want to show your boss a million things to prove how smart and amazing you are, but resist the urge! You will only create a lack of focus in your presentation. A question you can ask yourself here is: 

“Does adding this information help answer my bosses’ primary business concerns or does it take things in a slightly different direction?”

An example of this might be noticing that certain blog posts have a higher   Bounce Rate   on mobile vs. desktop. This is still important because it suggests that you need to consider optimizing your blog or site to be more mobile-friendly, but it is a departure from the original question and will send the conversation spiralling off into another direction.

If it doesn't add direct value to the core narrative, remove it. You can always save it for a future conversation.

There is nothing more devastating to the focus of your presentation that an odd statistical anomaly throwing the conversation completely off course. People (and bosses especially) tend to place more importance on the things they are familiar with, regardless of whether or not it’s relevant to your presentation.

Make sure you prepare yourself ahead of time by identifying all of the potential anomalies that your bosses might comment on. Then seek out real-world evidence of what caused them and why. 

If one of your bosses interrupts you mid-sentence and says “So why did our   Bounce Rate   jump so high on Sept 17th??” (and they love to do this by the way), make sure you have a quick and punchy answer to address their unwarranted concern and then swiftly get back to your original narrative. 

Once you've got your core narrative, it's time to shape it into a story. There's a simple framework called A-B-T which I suggest to all presenters of potentially boring information. It goes like this: 

A-B-T = A nd- B ut- T herefore. Remember it!

Most analytically-minded types aren't the most naturally versed in theatre and entertainment. Their presentations tend to be a series of "we noticed this, and then we noticed this, and then we found this...". This sounds very scientific and all, but it is an " and, and, and " method of communicating and it's actually similar to the way little children tell stories. 

Example: "I went to Billy's, and then we made a fort, and then we had ice cream, and then...".

Using "And, But, Therefore" structures your information into a three-act narrative (thesis, antithesis, synthesis) that will help your audience follow along. For example:

"We discovered that the referring site driving the most revenue is Company X, and traffic from them has increased 10% year-over-year, but interestingly enough, our Goal   Conversion Rate   from Referrer Y has almost tripled with a 192% increase in month-over-month revenue! Therefore we're really optimistic about pursuing new content partnerships with company Y."

Wow! What a difference!

This method of communicating is significantly more interesting and memorable. It highlights lessons learned and forces you to think about cause and effect relationships. In fact, I would recommend formatting every single presentation you ever do in this format.

Try to think of your entire presentation as an arc in this way: A series of observations (thesis), one unexpected key finding or challenge (antithesis), one key take away (synthesis). Then, break down the sub-sections into mini-A-B-T structures to provide narrative throughout.

If you follow the A-B-T structure above, your presentation should really have ONE key takeaway that directly answers the primary business concerns that your bosses had. 

You will likely spot many relevant insights and actions that need to be shared and applied to answer the primary business concerns, but give the most weight to that single takeaway. Your bosses have a million things on their plates and can't keep track of more than one key insight following that presentation. 

Pro Tip -   KPI   Dashboarding for the win

Speaking as a business decision-maker myself, having accurate metrics and data for measuring my team's efforts is one of the most important operations in my business.

It's why I suggest going beyond your basic   Google Analytics   presentation slides and making your bosses a   Key Performance Indicators   (KPI) Dashboard that can serve as a central part of your Business Intelligence strategy.   DashThis   is an excellent tool for doing this!

Once you've created a live dashboard to track all your most important high-level   KPIs, you use it to indicate to you when certain   KPIs   are off and then, like a detective, create specific presentations that dig deeper to highlight the key findings that led to those   KPIs   underperforming.

Follow these 6 steps and you’ll have a   web analytics presentation   that will knock the socks off your bosses and earn you a reputation as being the ‘go-to’ person for all important business decisions:

Discover the primary business concerns

Find all the angles

Remove the non-essential

Prepare for derailment

Shape it into a story

Provide one key insight

Bonus: Use   KPI   Dashboarding   for greater business intelligence

Delivering great presentations is a complex skill learned over time. Continue to apply and refine the ideas shared here and eventually, with practice, you’ll be a   web analytics presentation   savant.

Then your bosses will be sure to get your expert opinion before all of their important business decisions. Not a bad position to be in… Good luck!

Want to create the perfect  digital marketing  presentation dashboard including data from your  analytics tools  AND  social media  platforms? 

Warren has a decade of experience as a client-side marketer. As Marketing Director of Kintec, he built a marketing team of seven while achieving multiple consecutive years of record company growth. Now, as agency partner at Ollo Metrics , he helps business leaders learn data-driven marketing strategies to build scalable and resilient businesses.

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Welcome! This page showcases a collection of data analytics slides that I have been creating in recent times. As data becomes increasingly important in today’s world, it is essential to have a strong understanding of how to extract insights from it. My slides / PPTs will cover a wide range of data analytics topics, including data visualization, machine learning , statistical analysis, and data-driven decision-making. Whether you’re a data scientist , a business analyst, or simply interested in exploring the world of data analytics, I invite you to explore my collection of slides and learn more about this exciting and rapidly growing field.

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Check 50+ Abstract Business Concepts Visualized by Icons

7 PPT Templates for Comprehensive IT and Data Analytics Presentations

• October 18, 2022
• IT, AI & Data Analytics presentations , PowerPoint templates for download

Last Updated on June 28, 2024 by Barbara

If you’re working in the IT, data science, or data analytics field or have a presentation to prepare, get inspired by our visual examples of how you can enhance the slides. 

Explaining abstract IT concepts such as information sources, processes, or data structures requires ensuring that your audience will quickly understand what you want to present. The best way to address it is to use a visual form that is easy to grasp.

Explore our Business Performance PPT Reports category on the website for more resources to boost your presentation impact.

Therefore try to express complex IT ideas with diagrams and simple infographics. You can illustrate specific concepts with graphical symbols or show data flows using distinctive colors. The key thing is to keep visual clarity, to avoid a reader being lost. 

Importance of visual communication when presenting data processes and structures

PowerPoint can be the right tool for presenting complex IT frameworks thanks to its flexibility if used right. Check out the following PPT templates with data-related graphics we’ve put together to help visualize various IT concepts. All these templates contain editable visuals to help you successfully communicate your ideas to the target group; whether this is your project team, pitching a software company, or teaching university students.

Keep reading to get inspired by the data analytics and IT templates for making illustrative presentations effortlessly.

All the slides presented in this post, and many more, can be found by clicking on the pictures. Check out the whole data analytics and IT diagrams PPT collection here .

Depending on your presentation topic, you could use these seven PowerPoint templates:

• Digital transformation strategy roadmaps
• Web analytics report charts
• OLAP data cube 
• Artificial intelligence & machine learning
• DevOps know-how toolbox
• Blockchain technology 
• Data science icons

Digital Transformation Strategy Roadmaps Template

If you need to explain the digital transformation process and its effects on businesses, consider using roadmap visuals to explain the complexity of the process. The digital transformation strategy PPT template contains slides with digitalization definitions and quotes, development, opportunity and challenges, and diagrams and icons with use instructions.

The digital transformation visuals can be applied in the following cases:

• for educational purposes by trainers, lecturers, or teachers
• in IT project management by leaders or consultants e.g. introducing a new digitalization strategy inside a company or for a client.
• while introducing new tools and directions in a company strategy

Check also how roadmaps can be useful for other strategic presentations.

Web Analytics Reports Chart PowerPoint Template

Do you need to present an analysis of the page traffic source and user behavior? The general website health is important for launching advertising campaigns, minimizing the user bounce rate as much as possible, and reducing shopping cart abandonment. Proper communication of those concepts and their statistics to your team is an important step if you want to manage your online presence effectively. The following PowerPoint template was designed to support such presentations.  

The web analytics reports charts presentation deck contains pre-designed slides to illustrate Google Analytics findings, pie charts with share traffic sources distribution strategy visualization for improving digital marketing campaign failures, and a calendar for e-marketing project planning. Using such visuals can help you deliver the message to the desired audience in a transparent and understanding way.

This PPT template can be handy to improve understanding and collaboration between the marketing team web data analysts and eventually also developers. Marketers can follow the success of their campaigns, and developers can react promptly to keep the workflow smooth.

OLAP Data Cube PPT Graphics

Are you working in Big Data or explaining Business Intelligence concepts? Do you need to explain its essence, the OLAP cube? In that case, the Online Analytical Processing (OLAP) Template could be most suitable. It contains slides with OLAP definitions, data cube dimensions, cube elements explanation  (, visualization of slicing, drill-down, roll-up, and pivot data operations on OLAP, and a handful of icons and graphics for IT analytics.

These PPT graphics can help you to explain the OLAP concept to your colleagues, in reports or educational materials teaching data science essentials.

AI & Machine Learning Presentation

 If you are presenting topics related to Artificial Intelligence technologies, it’s a good idea to explain those concepts with graphics rather a text-heavy slides. The AI & machine learning PowerPoint template can be a useful help for your presentation preparation.  

You will find slides with definitions and quotes, AI, machine learning, deep learning comparisons, AI & ML history timeline, opportunities and dangers, and machine learning algorithm types. All slides contain illustrative diagrams and associative icons for presenting this dense information in an easier-to-grasp way.

We recommend you read the following article for more inspiration: How to Present Digital Technology Idea .

DevOps Know-How Diagrams

Do you work and talk about software development methodologies and processes? Then you can find useful the following DevOps diagrams collection to present it clearly. 

Check the PowerPoint graphics we designed to help you visually explain these topics. The DevOps know-how template contains a general DevOps introduction, a circle diagram with touchpoints for presenting the roles, and a honeycomb diagram explaining the advantages without stuffing the slide with text. You can also find flowchart diagrams with the 5 levels of DevOps and 4 phases.

You can further enrich your slides for better visualization with this IT icons bundle set .

Blockchain Technology Diagrams

Are you presenting the Blockchain technology or proposing a new project connected with it? Explaining such a complex technology can be difficult to grasp and often confusing. That is where graphic visuals may come as resourceful. The blockchain technology template contains slides with Blockchain definition, an introduction of how it works illustrated with a roadmap, its structure, key forces, applications, pros and cons, and editing instructions. 

Blockchain is increasingly being used in various industries such as real estate, travel and mobility, shipping and logistics, and product development. Therefore it’s worth having graphics by hand for explaining those concepts to your peers, and clients or for teaching purposes. For more blockchain topic inspirations, refer to this article .

Data Science Analytics PPT Icons

Need an idea on preparing big data, data analysis, or predictive analytics presentations? Using associative visuals will impress your audience and help them stay on the same page. The data science analytics graphics template is a collection of flat outline icons, flowcharts, and circle diagrams for simple concept comparisons such as data science, data analysis, and data mining. Slides with a dark background are also included inside, for more catchy presentations with emphasized elements.

Explore the PowerPoint slide deck mentioned above, it can be a good source for illustrations for data-related presentations, whether you are teaching about it or communicating IT concepts in meetings with your colleagues. See also how to make Big Data presentation appealing visually in PowerPoint.

IT & Data Analytics Presentations: Choosing the Right Template

We hope these PowerPoint Templates will help you find ideas for your next presentation about digital technologies and IT concepts. Introducing information-dense topics doesn’t need to be difficult if you are using the right visuals. Our inspiration for creating Data Analytics and IT templates was to help you communicate better, whether you do presentations to teach, inform or sell your IT services or solutions. You can adjust and reuse the slides and their graphic elements for different purposes depending on your goals.

Explore our YouTube channel for more creative inspiration:

Resources: PowerPoint Templates for IT and Data Analytics Presentations

You can find all the slides we used in this article in the infoDiagram graphics library. You can find many more illustrations to prepare professional presentations to impress your audience. See the whole deck collection here:

Want to test our graphics first? Check out this free PPT graphics sample kit and create unique slides by yourself from scratch.

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Understanding Importance of Data Analysis

The results of data analysis can give business the vital insights they need to turn in to successful and profitable ventures. It could be the difference between a successful business operation and a business operation that is in trouble.

Data analysis, though one of the most in-demand job roles globally, doesn’t require a degree in statistics or mathematics to do well, and employers from a wide variety of industries are very keen to recruit data analysts.

Businesses hire data analysts in the field of finance, marketing, administration, HR, IT and procurement, to name just a few.  Understand the big picture and provide answers. By engaging in data analysis, you can actually delve deep and discover hidden truths that most business people would never be able to do.

What skills you should master to be a data analyst?

While Data Analyst roles are on the rise, there are certain skills that are vital for anyone who wants to become a data analyst . Before the job, a candidate needs to have either a degree in statistics, business or computer science or a related subject, or work experience in these areas. 

If you’re interested in becoming a data analyst, you’ll need to know: 

• Programming and algorithms
• Data Visualization 
• Open-source and cloud technologies 
• No coding experience is required. 

How much is a data analyst worth?  Data analysts earn an average salary of £32,403 per annum, according to jobs site Glassdoor. This pays for a salary, with benefits such as medical insurance and paid leave included in the starting salary.  If you think you have the right skills, there are plenty of roles on offer.

What data analysis entails

Data analysis is an analytical process which involves recording and tabulating (recording and entering, entering and tabulating) the quantities of a product, such as numbers of units produced, costs of materials and expenses.

While data analyst can take different forms, for example in databases, in other structures such as spreadsheets, numbers are the main means of data entry. This involves entering and entering the required data in a data analysis system such as Excel.

For example, although a database doesn’t require a data analyst, it can still benefit from data analysis techniques such as binomial testing, ANOVA and Fisher’s exact tests.  Where is the data analysis courses in IT?  Given the ever-increasing reliance on technology in business, data analysis courses are vital skills.

What are the types of data analysis methods?

• Cluster analysis 

The act of grouping a specific set of data in a manner that those elements are more similar to one another than to those in other groups – hence the term ‘cluster.’ Since there is no special target variable while doing clustering, the method is often used to find hidden patterns in the data. The approach is purposely used to offer additional context to a particular trend or dataset.  

• Cohort analysis 

This type of data analysis method uses historical data to examine and compare a determined segment of users’ behavior, which can then be grouped with others with similar characteristics. By using this data analysis methodology, it’s possible to gain a wealth of insight into consumer needs or a firm understanding of a broader target group.

A dependent variable is an element of a complex system that is assumed to have a single cause, but it’s affected by multiple factors, thus giving researchers an indication as to how a complex system function.  

• Regression analysis

The regression analysis is used to predict how the value of a dependent variable changes when one or more independent variables change, stay the same or the dependent variable is not moved. Regression is a sophisticated statistical method that includes mathematical functions that are typically called “segmentation,” “distribution,” and “intercept” functions.

Regression is a type of regression analysis that only contains linear and quadratic functions. You can change the types of factors (or the independent variables) that are selected in regression analysis (it’s typically called “nonlinear regression analysis”) by changing the order in which the models are constructed.To begin, let’s explain how regression analysis works.  

Examples in business world

The Oracle Corporation is one of the first multinational companies to adopt this type of analysis method, based on which the company was able to develop predictive modelling systems for marketing purposes.

In a more specific sense, a Regression analysis is a popular type of data analysis used for analyzing the likelihood that a random variable will move up or down a range of parameters in response to a change in a specific control variable.

Companies who use this type of analysis are looking for trends and patterned performance over time. For example, how a company may respond to a rising cost of labor and its effect on its business bottom line, a weather-related issue like an earthquake, a new advertising campaign, or even a surge in customer demand in some areas.

What are basic pointers to consider while presenting data

Recognize that presentation matters.

Too often, analysts make the mistake of presenting information in order to show an abstracted version of it.  For instance, say a B2B company has 4 ways to improve their sales funnel:

• More Visually Engaging 
• More Easily Transacted 
• More Cost Effective 

Then, “informative” would mean that a B2B company needs to optimize their sales funnel to each of these to be more “convenient, faster, easier, more visually engaging, or most cost effective.” Sure, it would be nice if they all improved – they would all provide a competitive advantage in some way. But that’s not what the data tells us.

Don’t scare people with numbers

When you’re presenting data, show as many as possible, in as many charts as possible. Then, try to talk through the implications of the data, rather than overwhelming people with an overwhelming amount of data.

Why? Research suggests that when a number is presented in a visual, people become more likely to process it and learn from it.  I recommend using video, text, graphs, and pictures to represent your numbers. This creates a more visually appealing data set. The number of followers on Twitter is visually appealing. The number of followers on Facebook is visually appealing. But nobody looks at their Twitter followers. If you don’t know what your numbers mean, how will your audience?  That doesn’t mean numbers aren’t important.

Maximize the data pixel ratio

The more data you show to a critical stakeholder, the more likely they are to get lost and distracted from what you’re actually trying to communicate. This is especially important in the case of people in the sales and marketing function.

Do you have a sales person out in the field who is trying to close a deal? It would be a shame if that person got lost in your Excel analytics and lost out on the sale.  This problem also occurs on the web.

Consider how web visitors respond to large, colorful charts and graphs. If we’re talking about visualizations that depict web performance, a visual might be helpful. But how often do we see this done?  Research shows that people respond better to web-based data in a simplified, less complex format.

Save 3-D for the movies

There are great stories in the universe. This is an oversimplification, but if you look at history, humans only understand stories. We are great storytellers. We develop, through trial and error, our own intuition about the “right” way to tell stories.

 One of the most powerful and effective ways to present data is to go beyond the visual to the audible, that is, to tell stories in a way that people can relate to. Everything you hear about computers being a series of numbers is wrong. We visualize numbers in a precise, quantitative way. But the numbers are not a collection of isolated events. To understand them, we need to understand the broader context.

Friends don’t let friends use pie charts

Businesses and analysts have done this since pie charts first appeared on Microsoft Excel sheets. When presenting data, break down your pie chart into its component segments.

 As opposed to an equal-sized circle for the average earnings for all the employees, share a pie chart where the percentages for each individual segment are different, with a link to the corresponding chart.

 Pair with explanatory text, show their correlation, and make your choice based on your audience, not on whether you want to scare or “educate” them. The majority of audiences will see the same image, regardless of whether it’s presented in a bar chart, bar chart, line chart, or something else.

Choose the appropriate chart

Does the data make logical sense? Check your assumptions against the data.  Are the graphs charting only part of the story? Include other variables in the graphs.  Avoid using axis labels to mislead. Never rely on axes to infer, “logical” conclusions.  Trust your eyes: you know what information your brain can process.

Think of numbers like music — they are pleasing, but not overwhelming.  Save 3D for the movies. When everyone is enjoying 4K, 8K, and beyond, it’s hard to envision your audience without the new stuff. I remember the first time I got to see HDTV. At home, I sat behind a chair and kept turning around to watch the TV. But at the theatre, I didn’t need a chair. All I had to do was look up, and see the giant screen, the contrast, and the detail.

Don’t mix chart types for no reason

Excel chart s with colored areas help people focus. Arrows give us scale. Assume your audience doesn’t understand what you’re saying, even if they do. Nobody wants to open a recipe book to learn how to cook soup. Instead, we start with a recipe.

Use a formula to communicate your analysis with as few words as possible. Keep it simple.  Resist the urge to over-complicate your presentation. A word cloud is not a word cloud. A bar chart is not a bar chart. If you use a word cloud to illustrate a chart, consider replacing a few words with a gif. A bar chart doesn’t need clouds. And a bar chart doesn’t need clouds.  If there’s one thing that’s sure to confuse your audience, it’s bar charts.

Use color with intention

Use color with intention. It’s not about pretty. When it comes to presenting data clearly, “informative” is more important than “beautiful.” 

However, visualizations like maps, axes, or snapshots can help visual communication to avoid this pitfall. If you are going to show a few locations on a map, make sure each location has a voice and uses a distinct color. Avoid repeating colors from the map or bottom bar in all the visuals. Be consistent with how you present the data .  A pie chart is not very interesting if all it shows is a bunch of varying sizes of the pie.

Data analysis in the workplace, and how it will impact the future of business

Business leaders are taking note of the importance of data analysis skills in their organisation, as it can make an enormous impact on business.

 Larger organisations such as Google, Amazon and Facebook employ huge teams of analysts to create their data and statistics. We are already seeing the rise of the next generation of big data analysts – those who can write code that analyses and visualizes the data and report back information to a company to help it improve efficiency and increase revenue. 

The increasing need for high-level understanding of data analysis has already led to the role of data analyst becoming available at university level. It is no longer a mandatory business qualification but one that can enhance your CV.

By understanding the importance of each variable, you can improve your business by managing your time and creating more effective systems and processes for running your business. The focus shifts from just providing services to providing value to your customers, creating a better, more intuitive experience for them so they can work with your company for the long-term. 

Adopting these small steps will allow you to be more effective in your business and go from being an employee to an entrepreneur.

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This slide showcases the most used technologies for healthcare data analytics. It includes technologies such as AI tools, cloud computing platforms, blockchain networks and machine learning tools. Presenting Data Analytics Healthcare Best Technologies Template PDF to dispense important information. This template comprises Five stages. It also presents valuable insights into the topics including Artificial Intelligence Tools, Cloud Computing Platforms, Blockchain Network. This is a completely customizable PowerPoint theme that can be put to use immediately. So, download it and address the topic impactfully.

Half Yearly Data Analytics Implementation Roadmap Demonstration

We present our half yearly data analytics implementation roadmap demonstration. This PowerPoint layout is easy-to-edit so you can change the font size, font type, color, and shape conveniently. In addition to this, the PowerPoint layout is Google Slides compatible, so you can share it with your audience and give them access to edit it. Therefore, download and save this well-researched half yearly data analytics implementation roadmap demonstration in different formats like PDF, PNG, and JPG to smoothly execute your business plan.

Big Healthcare Data Analytics Workflow Infographics PDF

This slide showcase the process for big data mining in healthcare. It includes elements such as types of different data, types of analytics and outcomes improved. Showcasing this set of slides titled Big Healthcare Data Analytics Workflow Infographics PDF. The topics addressed in these templates are Data Detection, Electronic Health Record, Clinical Data. All the content presented in this PPT design is completely editable. Download it and make adjustments in color, background, font etc. as per your unique business setting.

Benefits Of Healthcare Data Analytics Pictures PDF

This slide showcase the advantages of data analytics in healthcare. It includes benefits such as improved medical research, new drug development and automatic administrative processes. Persuade your audience using this Benefits Of Healthcare Data Analytics Pictures PDF. This PPT design covers Ten stages, thus making it a great tool to use. It also caters to a variety of topics including Clinical Data Analysis, Improve Medical Research. Download this PPT design now to present a convincing pitch that not only emphasizes the topic but also showcases your presentation skills.

Agenda For Data Analytics Management Diagrams PDF

Presenting Agenda For Data Analytics Management Diagrams PDF to provide visual cues and insights. Share and navigate important information on five stages that need your due attention. This template can be used to pitch topics like Agenda. In addtion, this PPT design contains high resolution images, graphics, etc, that are easily editable and available for immediate download.

Quarterly Roadmap For Data Analytics Technology Slides

Presenting our jaw-dropping quarterly roadmap for data analytics technology slides. You can alternate the color, font size, font type, and shapes of this PPT layout according to your strategic process. This PPT presentation is compatible with Google Slides and is available in both standard screen and widescreen aspect ratios. You can also download this well-researched PowerPoint template design in different formats like PDF, JPG, and PNG. So utilize this visually-appealing design by clicking the download button given below.

Quarterly Data Analytics Implementation Roadmap Pictures

Presenting our innovatively-structured quarterly data analytics implementation roadmap pictures Template. Showcase your roadmap process in different formats like PDF, PNG, and JPG by clicking the download button below. This PPT design is available in both Standard Screen and Widescreen aspect ratios. It can also be easily personalized and presented with modified font size, font type, color, and shapes to measure your progress in a clear way.

3 Months Data Analytics Implementation Roadmap Elements

Presenting our innovatively-structured 3 months data analytics implementation roadmap elements Template. Showcase your roadmap process in different formats like PDF, PNG, and JPG by clicking the download button below. This PPT design is available in both Standard Screen and Widescreen aspect ratios. It can also be easily personalized and presented with modified font size, font type, color, and shapes to measure your progress in a clear way.

3 Months Data Analytics Roadmap Structure

Introducing our 3 months data analytics roadmap structure. This PPT presentation is Google Slides compatible, therefore, you can share it easily with the collaborators for measuring the progress. Also, the presentation is available in both standard screen and widescreen aspect ratios. So edit the template design by modifying the font size, font type, color, and shapes as per your requirements. As this PPT design is fully editable it can be presented in PDF, JPG and PNG formats.

5 Year Data Analytics Implementation Roadmap Topics

Presenting our innovatively-structured 5 year data analytics implementation roadmap topics Template. Showcase your roadmap process in different formats like PDF, PNG, and JPG by clicking the download button below. This PPT design is available in both Standard Screen and Widescreen aspect ratios. It can also be easily personalized and presented with modified font size, font type, color, and shapes to measure your progress in a clear way.

5 Year Data Analytics Roadmap Infographics

Introducing our 5 year data analytics roadmap infographics. This PPT presentation is Google Slides compatible, therefore, you can share it easily with the collaborators for measuring the progress. Also, the presentation is available in both standard screen and widescreen aspect ratios. So edit the template design by modifying the font size, font type, color, and shapes as per your requirements. As this PPT design is fully editable it can be presented in PDF, JPG and PNG formats.

6 Months Data Analytics Roadmap Diagrams

Presenting our innovatively-structured 6 months data analytics roadmap diagrams Template. Showcase your roadmap process in different formats like PDF, PNG, and JPG by clicking the download button below. This PPT design is available in both Standard Screen and Widescreen aspect ratios. It can also be easily personalized and presented with modified font size, font type, color, and shapes to measure your progress in a clear way.

Half Yearly Data Analytics Roadmap Ideas

Presenting our innovatively-structured half yearly data analytics roadmap ideas Template. Showcase your roadmap process in different formats like PDF, PNG, and JPG by clicking the download button below. This PPT design is available in both Standard Screen and Widescreen aspect ratios. It can also be easily personalized and presented with modified font size, font type, color, and shapes to measure your progress in a clear way.

Months Data Analytics Implementation Roadmap Structure

Presenting our jaw-dropping months data analytics implementation roadmap structure. You can alternate the color, font size, font type, and shapes of this PPT layout according to your strategic process. This PPT presentation is compatible with Google Slides and is available in both standard screen and widescreen aspect ratios. You can also download this well-researched PowerPoint template design in different formats like PDF, JPG, and PNG. So utilize this visually-appealing design by clicking the download button given below.

Big Data Analytics Service Framework Graphics PDF

Mentioned slide illustrates big data managed services which can be used by business to gather real time company analytics. It includes services such as data acquisition, storage, testing, monitoring, data security, analysis, architecture, development, migration and optimization. Persuade your audience using this Big Data Analytics Service Framework Graphics PDF. This PPT design covers one stages, thus making it a great tool to use. It also caters to a variety of topics including Data Analysis, Assessment Of Business, Management Infrastructure. Download this PPT design now to present a convincing pitch that not only emphasizes the topic but also showcases your presentation skills.

Big Data Analytics Best Practices Mockup PDF

Following slide provides information about various best practices which can be implemented by businesses for strategic future planning. It includes best practices such as create roadmap, reliable architecture, data silos management and data governance. Persuade your audience using this Big Data Analytics Best Practices Mockup PDF. This PPT design covers four stages, thus making it a great tool to use. It also caters to a variety of topics including Data Governance, Reliable Architecture, Data Silos Management. Download this PPT design now to present a convincing pitch that not only emphasizes the topic but also showcases your presentation skills.

Big Data Analytics Job Vacancy Demonstration PDF

Following slide demonstrates buyer persona for recruitment of big data analyst to enhance business productivity and for achieving organisation goals. It includes elements such as job description, qualification, experience, salary, roles and responsibility and skills. Pitch your topic with ease and precision using this Big Data Analytics Job Vacancy Demonstration PDF. This layout presents information on Location, Information, Internal. It is also available for immediate download and adjustment. So, changes can be made in the color, design, graphics or any other component to create a unique layout.

Ebitda Data Analytics Company Outline Topics PDF

This slide illustrates a graph of EBITDA for Kantar company showing growth trend in from 2021. It also showcases key insights for EBITDA highlighting estimated EBITDA for 2022 and 2023. Present like a pro with Ebitda Data Analytics Company Outline Topics PDF Create beautiful presentations together with your team, using our easy-to-use presentation slides. Share your ideas in real-time and make changes on the fly by downloading our templates. So whether you are in the office, on the go, or in a remote location, you can stay in sync with your team and present your ideas with confidence. With Slidegeeks presentation got a whole lot easier. Grab these presentations today. This slide illustrates a graph of EBITDA for Kantar company showing growth trend in from 2021. It also showcases key insights for EBITDA highlighting estimated EBITDA for 2022 and 2023

Big Data Analytics Framework Layers Formats PDF

This slide illustrate four different layer of big data pipeline architecture to support activities related to data management. It includes layers such as data ingestion, processing, storage and visualization Persuade your audience using this Benefits Of Big Data And Analytics Framework For Organization Development Guidelines PDF. This PPT design covers four stages, thus making it a great tool to use. It also caters to a variety of topics including Data Ingestion, Data Processing, Data Storage. Download this PPT design now to present a convincing pitch that not only emphasizes the topic but also showcases your presentation skills.

Big Data Analytics Applications Across Developing Strategic Insights Using Big Data Analytics SS V

This slide showcases applications of big data analytics across various sectors to improve operations and business efficiency. It provides information regarding industries such as healthcare, retail and supply chainAnd logistics. Do you have an important presentation coming up Are you looking for something that will make your presentation stand out from the rest Look no further than Big Data Analytics Applications Across Developing Strategic Insights Using Big Data Analytics SS V. With our professional designs, you can trust that your presentation will pop and make delivering it a smooth process. And with Slidegeeks, you can trust that your presentation will be unique and memorable. So why wait Grab Big Data Analytics Applications Across Developing Strategic Insights Using Big Data Analytics SS V today and make your presentation stand out from the rest This slide showcases applications of big data analytics across various sectors to improve operations and business efficiency. It provides information regarding industries such as healthcare, retail and supply chainand logistics.

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Analysis Presentation Templates

Do you believe it slide egg offers 374+ best free analysis powerpoint templates and google slides themes to analyze your business performance, vrio analysis, thematic analysis, market analysis, project analysis, and more. our slides are editable, and free slides are also offered..

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How To Create Business Analysis Template

How to create an analysis PowerPoint

Analysis PowerPoint template

We're here to help you, what are analysis powerpoint templates.

Analysis PowerPoint Templates are a template designed for presenting data or analysis results. They are often used in business presentations to help explain key concepts and trends. They can include charts and diagrams to illustrate the data or analysis results.

Where can we use these Analysis Slides?

You can use these analysis slides for business presentations, educational lectures, product launches, and marketing campaigns. Also, you can use them to present data, draw conclusions, and illustrate trends.

How can I make Analysis PPT Slides in a presentation?

Start by creating a basic outline of the presentation. Include charts, graphs, and diagrams highlighting the data or trends you are discussing. Suppose you want to create slides. Visit Tips and tricks for detailed instructions.

Who can use Analysis PPT Templates?

Business professionals can use Analysis PPT templates. Also, researchers, students, teachers, and other professionals use these slides to make data visually appealing and organized.

Why do we need Analysis PowerPoint Slides?

Anyone can use Analysis PowerPoint Slides to help communicate complex data and information visually and understandably. You can also use them to help explain the results of data analysis and provide an overview of the key findings.

Where can I find Analysis PPT Templates for free?

Several websites offer free Analysis PPT templates. You can find a variety of templates on sites such as Slide egg. Our websites have a selection of uniquely designed templates to customize and organize your idea or facts.

Crafting Analytics Presentation with Advanced Slideshow

Advanced Slideshow is a powerful data storytelling feature that enables you to craft immersive presentation blending visualizations created in Zoho Analytics. Along with visualizations add narrative elements - text, infographics, videos, and shapes - in your presentations to create a compelling analytical story.

Advanced Slideshow is seamlessly powered by the integration with Zoho Show our online presentation service.

Creating Presentations with Advanced Slideshows

• What is Zoho Analytics Advanced Slideshow?
• Who can create slideshows in Zoho Analytics?
• How to create advanced slideshows in Zoho Analytics?
• Can the Zoho Analytics data views narrate automatic data stories?

Working in Advanced Editor - Zoho Show

• How will the created slideshow appear in Zoho Show Advanced Editor?
• How to edit my slideshows in Zoho Show?
• How to add data views to the created slideshows?
• How to change the slideshow theme?
• Who can edit these slideshows in Zoho Show?
• Should the embedded views in the slideshow be refreshed whenever the underlying data changes?
• What are the interaction options supported on the views/visualizations embedded within the slideshows, while accessing it?

Sharing and Collaboration

• How to share the advanced slideshows?
• How to publish the advanced slideshows?
• Who can view the published slideshows?
• Can I restrict access to my published slideshows?

Managing Slideshows

• Can I view all the created slideshows in a workspace?
• How to delete a slideshow?

1. What is Zoho Analytics Advanced Slideshow?

Advanced Slideshow is a powerful data storytelling feature that enables you to craft immersive presentation blending visualizations created in Zoho Analytics. Along with visualizations add narrative elements - text, infographics, videos, and shapes - in your presentations to create a compelling analytical story.​

2. Who can create slideshows in Zoho Analytics?

Users with Standard plan and above can create slideshows in Zoho Analytics.

You can create slideshows in Zoho Analytics, if you have the following privileges:

• Account Admin
• Organization Admin
• Workspace Admin

3. How to create advanced slideshows in Zoho Analytics?

You can create slideshows in Zoho Analytics using the Basic slideshow and  Advanced slideshow option.

Follow the below steps to create advanced slideshow:

• In the Manage Slideshows page that opens, click Create Slideshow .
• Give a suitable Slideshow Name.
• Choose the Access Permission type, With login or Without login.
• Choose the views that should be a part of the slideshow.
• Select Advanced Slideshow from the Choose slideshow type section.

• After selecting the required theme, click Next .
• Click Create. A preview of the slideshow will be displayed. Copy the URL to access or edit the slideshow
• Click Close. Access the slideshow in Zoho Show to edit and to include other elements to create an immersive presentation.

4. Can the Zoho Analytics data views narrate automatic data stories?

Yes. The Zoho Analytics reports and dashboards narrate insightful data stories using the in-built smart assistant Zia Insights. Our data chronicler, Zia Insights, will throw light on the key elements constituting a view. You can later use this information to build your data story in the Advanced Editor.

The Zia Insights button will be available at the top-right corner of your report, clicking it will quickly narrate the top insights for the report.

You will also notice the Zia Insights icon when you mouse over the reports available in a dashboard.

Learn more about Zia Insights .

1. How will the created slideshow appear in Zoho Show Advanced Editor?

The created slideshow will be embedded in sequence in the Zoho Show Advanced Editor. 

The Edit mode will display only the embedded code of the reports and dashboards along with the Report/Dashboard name. You will be able to view your reports and dashboards only in the Preview mode in the Advanced Editor. 

You will have a title slide as the first slide, with the presentation and creator name based on your inputs provided in Zoho Analytics.

2. How to edit my slideshows in Zoho Show?

The Zoho Show is a full presentation editor that lets you add presentation elements. To edit your slideshows, follow the below steps:

• From the required workspace, navigate through the Settings icon > Slideshows . 

• The advanced editor provides various customization options to create meaningful presentations and storyboards. You can add Text , Media , Shapes , Tables , and Charts . You can also integrate with external sources to add supporting aids, such as Infographics, YouTube links, Twitter feed data, Zoho Sprints data, using the Add-Ons option.  Learn More .

3. How to add data views to the created slideshows?

You can add more reports and dashboards, to the created slideshow, by following the below steps:

• From the required workspace, navigate through the  Settings  icon >  Slideshows . 
• In the  Manage Slideshows  page, click the  Edit  icon that appears on mouse over the slideshow name. This will open the embedded slideshow in the advanced editor.
• From the advanced editor toolbar, click the Add-ons option.

The selected views will be added to your slideshow.

4. How to change the slideshow theme?

You can change the slideshow Themes in your advanced editor by following the below steps:

• Click the FORMAT option in the top right corner of your advanced editor.

• Select the required theme and click Apply . 

You can also customize your font, font colors, slide background layout, and slide ratio from the FORMAT section.

5. Who can edit these slideshows in Zoho Show?

The Admin users (Account, Organization, or Workspace Admins) of the workspace on which the advanced slideshow was created can edit these stories.

6. Should the embedded views in the slideshow be refreshed whenever the underlying data changes?

No, the embedded visualizations in your slideshows will get updated automatically as when the underlying data changes.

7. What are the interaction options supported on the views/visualizations embedded within the slideshows, while accessing it?

You can interact with your views embedded within the slideshow in the same way you interact with them in Zoho Analytics. 

The following interactions will be available:

• Tooltips & highlights 
• View  underlying data  
• Drill down 
• Change chart type  
• Apply User Filters, if any
• Interact with legend 

1. How to share the advanced slideshows?

As of now, the share option is not supported.

2. How to publish the advanced slideshows?

Your advanced slideshows will get automatically published upon creation. You can get the published link by following the below steps:

3. Who can view the published slideshows?

Any user with the slideshow link can view the published slideshow. You can also choose to restrict access to your slideshows.

4. Can I restrict access to my published slideshows?

Yes, you can choose between either of the following access modes to restrict access to your slideshow:

• With Login : This is the most secure mode. Only users who log into Zoho Analytics can view the slideshows. 
• Without Login : Users can view the slideshow without logging in to Zoho Analytics. This is available only in the Premium and Enterprise plans of Zoho Analytics.

1. Can I view all the created slideshows in a workspace?

Yes, you can view the list of all the slideshows created in a workspace from the Manage Slideshows page. To view all the slideshows created in a workspace:

• Click the Settings icon from the workspace explorer.
• Navigate to the Slideshows tab.

2. How to delete a slideshow?

You can delete a slideshow in Zoho Analytics by following the below steps:

• Navigate to the Manage Slideshows page from your workspace explorer by clicking the Settings icon > Slideshows tab.

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Google Slides Analytics Presentation Template

Number of slides: 10

In today’s world where everything leaves a data footprint, analyzing information is a crucial skill in ensuring your business comes out on top. There are many benefits to data analysis, mainly revolving around having the required information to make intelligent decisions. When you track your performance across a period of time, you can be more and more certain about making changes in order to optimize your operations. This pack offers you a multitude of tools for presenting your analysis process in a clear and concise manner. Use the Metric Tracking Slide, the Who-what-why Slide and Region Comparison Slide to presents your results to your stakeholders.

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Free Analytics Presentation Template in Google Slides

Metric tracking slide.

This simple chart will display how multiple metrics have changed over time and help you find relationships between its components. For example, you can use this graph to track your company’s profits against the investment made in staff training and better IT systems.

Who-What-Why Slide

Asking the W questions is always a good way of reflecting on what you know and reaching some clearly defined answers. In presentations, this is a great slide for engaging with your audience and starting conversations.

Region Comparison slide

When operating in multiple countries or in different regions across the world, it’s important to track the performance of each operations center to see how each one is doing. Whilst it is necessary to keep in mind the cultural differences between regions that can play a role in the performances, getting a high-level view of your strategy across countries can offer great insights and optimization potential.

Analysis is only the first step

Make sure you put into action what you learn through data analysis

Optimize your future

Slightly nudging the investments made in each area can help you achieve the ideal return on investment

Learn how to ask the right questions

It can be overwhelming to have so much unprocessed data in front of you, so filter only what you need by asking the right questions

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• Election 2024

General Election 2024: Manifesto Analysis Presentations

• Carl Emmerson
• Christine Farquharson
• Paul Johnson
• Helen Miller

Published on 24 June 2024

IFS researchers presented their analysis of the manifestos ahead of the 2024 general election.

• Government finances and spending
• Taxes and benefits

Paul Johnson's Opening Remarks 

PDF | 93.79 KB

Download Tom Waters' slides 

PDF | 253.38 KB

Download Christine Farquharson's slides 

PDF | 321.33 KB

Download Carl Emmerson's slides 

PDF | 295.49 KB

Download Helen Miller's slides 

PDF | 200.5 KB

Ten days before polling day, IFS researchers and Director Paul Johnson gave their verdict on the parties' manifestos - in particular comparing the offering from the Conservative Party with that from the Labour Party - at a press briefing in Westminster. At this event, which was live-streamed for the general public, we presented new analysis on how manifesto policies could impact the public finances and what they might mean for household incomes, public services and taxation.

Deputy Director

Carl, a Deputy Director, is an editor of the IFS Green Budget, is expert on the UK pension system and sits on the Social Security Advisory Committee.

Associate Director

Christine's research examines inequalities in children's education and health, especially in the early education and childcare sector.

Paul has been the Director of the IFS since 2011. He is also currently visiting professor in the Department of Economics at University College London.

Helen is Deputy Director of the IFS and Head of the Tax sector.

Tom is an Associate Director at the IFS and Head of the Income, Work and Welfare sector.

Presentation details

Suggested citation.

Emmerson, C et al. (2024). 'General Election 2024: Manifesto Analysis Presentations' [Presentation]. London: Institute for Fiscal Studies. Available at: https://ifs.org.uk/publications/general-election-2024-manifesto-analysis-presentations (accessed: 29 June 2024).

More from IFS

Understand this issue.

Election Special: Your questions answered

27 June 2024

What is the two-child limit in benefits?

What are the challenges in getting debt on a falling path?

28 June 2024

Policy analysis

How would the parties’ tax and spending plans affect Scotland and Wales?

What are the parties’ plans for benefits and taxes?

24 June 2024

Main parties’ manifestos tell us little about the funding individual public services would actually receive

23 June 2024

Academic research

6th World Bank/IFS/ODI Public Finance Conference | Driving Progress: Public Finance and Structural Transformation

The unintended consequences of infrastructure development

Unfunded mandates and taxation

14 March 2024

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Powerpoint Templates and Google slides for Business Analytics Examples

Save your time and attract your audience with our fully editable ppt templates and slides..

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Cnn presidential debate draws over 51 million viewers across networks, 2 minute read | june 2024.

NEW YORK – June 28, 2024 – An estimated 51.3 million people watched CNN’s presentation of the first presidential debate of the 2024 election season on Thursday, June 27, according to Nielsen. 

The CNN Presidential Debate between President Biden and former President Trump aired live on CNN and was simulcast on an additional 16 television networks reported by Nielsen, from approximately 9:00 p.m. to 10:39 p.m. EDT. A full list of reported networks can be referenced at the bottom of the viewership table.

Below is a summary of average viewership aggregated across measured networks. The data is inclusive of U.S. audiences only.

CNN Presidential Debate

June 27, 2024 – viewership across networks.

Live plus same day, U.S. audience estimates

Source: Nielsen. NNTV, Live+Same-Day.

Data in this table is inclusive of broadcast and cable networks that aired the event. Reported networks include : ABC, CBS, FOX, NBC, Scripps News, Telemundo, Univision, BET, CNN, CNNe, HLN, FOX Business, FOX News Channel, MSNBC, Newsmax, NewsNation, PBS.

Audience estimates are inclusive of out-of-home viewing for all reported networks except Newsmax, NewsNation, PBS and Scripps News which do not include out-of-home contributions.

Audience projections are rounded to the nearest thousand (000).

© 2024 The Nielsen Company. All Rights Reserved. 

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