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Data Analysis PowerPoint Template

Our Data Analysis PowerPoint Template is a slide deck for presenting the analysis report before business executives and clients. Data analysis is a practical field involving converting raw data into useful information to help companies perform better and improve different processes. Data analysts use multiple tools and procedures to prepare data reports on what should be done (prescriptive analysis), what happened (descriptive analysis), and what can happen (predictive analysis). For instance, predictive analysis is important for determining risks associated with an operation. Similarly, data analysts can prescribe strategists and planning departments based on the information gathered through data analysis. This data analysis PowerPoint template features a range of 100% editable slides for presenting various facts and details. Data analysts can grab this template and prepare professional presentations without design skills. 

This Data Analysis PowerPoint Template has a simple format and a modern hexagonal background layout. A decent color scheme is used on all slides that can suit any presentation or meeting theme. However, users can change the colors according to their requirements. Following the title slide for adding introductory details, this template carries a slide for agenda display. Professionals can mention their meeting agenda points using the list design of this slide. Next is a timeline slide featuring infographic PowerPoint icons and text boxes to showcase different events of the process. Analysts can explain their analysis protocol with this slide template. The following slide is to showcase the results of the SWOT analysis . By performing the SWOT analysis for companies, data analysts provide real information about what they have and what they should improve for success. This slide carries four hexagons arranged in a square pattern and icons and placeholder text for adding details. Our presentation data analysis template includes a chapter slide, a two-column editable slide, and a process diagram slide with icons. 

Professionals can conveniently modify and personalize these slides for their use cases. The colors, font styles, and PowerPoint diagrams can be altered accordingly. A colorful thank you slide is provided to mention contact and agency details. So, download and try this data analysis template for Google Slides to prepare impressive presentations.

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7 PPT Templates for Comprehensive IT and Data Analytics Presentations

Last Updated on February 26, 2024 by Rosemary

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:

IT and Data Analytics Presentation PPT Templates

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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Data Analysis Presentation Templates

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

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

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

We're here to help you!

What is a data analysis.

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

What are Data Analysis PowerPoint Templates?

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

Where can we use these Data Analysis Slides?

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

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

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

Who can use Data Analysis PPT Templates?

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

Why do we need Data Analysis PowerPoint Slides?

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

Where can I find free Data Analysis PPT Templates?

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

Introduction to Data Analysis

Apr 06, 2019

2.59k likes | 5.91k Views

Introduction to Data Analysis. Data Measurement Measurement of the data is the first step in the process that ultimately guides the final analysis. Consideration of sampling, controls, errors (random and systematic) and the required precision all influence the final analysis.

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• central limit theorem
• normal distributions
• determination
• univariate analysis skewed distributions
• column chart
• time period

Presentation Transcript

Introduction to Data Analysis • Data Measurement • Measurement of the data is the first step in the process that ultimately guides the final analysis. • Consideration of sampling, controls, errors (random and systematic) and the required precision all influence the final analysis. • Validation: Instruments and methods used to measure the data must be validated for accuracy. • Precision and accuracy…Determination of error • Social vs. Physical Sciences

Introduction to Data Analysis • Types of data • Univariate/Multivariate • Univariate: When we use one variable to describe a person, place, or thing. • Multivariate: When we use two or more variables to measure a person, place or thing. Variables may or may not be dependent on each other. • Cross-sectional data/Time-ordered data (business, social sciences) • Cross-Sectional: Measurements taken at one time period • Time-Ordered: Measurements taken over time in chronological sequence. • The type of data will dictate (in part) the appropriate data-analysis method.

Introduction to Data Analysis • Measurement Scales • Nominal or Categorical Scale • Classification of people, places, or things into categories (e.g. age ranges, colors, etc.). • Classifications must be mutually exclusive (every element should belong to one category with no ambiguity). • Weakest of the four scales. No category is greater than or less (better or worse) than the others. They are just different. • Ordinal or Ranking Scale • Classification of people, places, or things into a ranking such that the data is arranged into a meaningful order (e.g. poor, fair, good, excellent). • Qualitative classification only

Introduction to Data Analysis • Measurement Scales (business, social sciences) • Interval Scale • Data classified by ranking. • Quantitative classification (time, temperature, etc). • Zero point of scale is arbitrary (differences are meaningful). • Ratio Scale • Data classified as the ratio of two numbers. • Quantitative classification (height, weight, distance, etc). • Zero point of scale is real (data can be added, subtracted, multiplied, and divided).

Univariate Analysis/Descriptive Statistics • Descriptive Statistics • The Range • Min/Max • Average • Median • Mode • Variance • Standard Deviation • Histograms and Normal Distributions

Distributions Descriptive statistics are easier to interpret when graphically illustrated. However, charting each data element can lead to very busy and confusing charts that do not help interpret the data. Grouping the data elements into categories and charting the frequency within these categories yields a graphical illustration of how the data is distributed throughout its range. Univariate Analysis/Histograms

Univariate Analysis/Histograms With just a few columns this chart is difficult to interpret. It tells you very little about the data set. Even finding the Min and Max can be difficult. The data can be presented such that more statistical parameters can be estimated from the chart (average, standard deviation).

Univariate Analysis/Histograms • Frequency Table • The first step is to decide on the categories and group the data appropriately. (45, 49, 50, 53, 60, 62, 63, 65, 66, 67, 69, 71, 73, 74, 74, 78, 81, 85, 87, 100)

Univariate Analysis/Histograms • Histogram • A histogram is simply a column chart of the frequency table.

Histogram Univariate Analysis/Histograms Average (68.6) and Median (68) Mode (74) -1SD +1SD

Univariate Analysis/Normal Distributions • Distributions that can be described mathematically as Gaussian are also called Normal • The Bell curve • Symmetrical • Mean ≈ Median Mean, Median, Mode

Univariate Analysis/Skewed Distributions • When data are skewed, the mean and SD can be misleading • Skewness sk= 3(mean-median)/SD If sk>|1| then distribution is non-symetrical • Negatively skewed • Mean<Median • Sk is negative • Positively Skewed • Mean>Median • Sk is positive

Central Limit Theorem • Regardless of the shape of a distribution, the distribution of the sample mean based on samples of size N approaches a normal curve as N increases. • N must be less than the entire sample N=10

Univariate Analysis/Descriptive Statistics • The Range • Difference between minimum and maximum values in a data set • Larger range usually (but not always) indicates a large spread or deviation in the values of the data set. (73, 66, 69, 67, 49, 60, 81, 71, 78, 62, 53, 87, 74, 65, 74, 50, 85, 45, 63, 100)

Univariate Analysis/Descriptive Statistics • The Average (Mean) • Sum of all values divided by the number of values in the data set. • One measure of central location in the data set. Average = Average=(73+66+69+67+49+60+81+71+78+62+53+87+74+65+74+50+85+45+63+100)/20 = 68.6 Excel function: AVERAGE()

The data may or may not be symmetrical around its average value 0 2.5 7.5 10 4.8 0 2.5 7.5 10 4.8 Univariate Analysis/Descriptive Statistics

The Median The middle value in a sorted data set. Half the values are greater and half are less than the median. Another measure of central location in the data set. (45, 49, 50, 53, 60, 62, 63, 65, 66, 67, 69, 71, 73, 74, 74, 78, 81, 85, 87, 100) Median: 68 (1, 2, 4, 7, 8, 9, 9) Excel function: MEDIAN() Univariate Analysis/Descriptive Statistics

The Median May or may not be close to the mean. Combination of mean and median are used to define the skewness of a distribution. 0 2.5 7.5 10 6.25 Univariate Analysis/Descriptive Statistics

The Mode Most frequently occurring value. Another measure of central location in the data set. (45, 49, 50, 53, 60, 62, 63, 65, 66, 67, 69, 71, 73, 74, 74, 78, 81, 85, 87, 100) Mode: 74 Generally not all that meaningful unless a larger percentage of the values are the same number. Univariate Analysis/Descriptive Statistics

Univariate Analysis/Descriptive Statistics • Variance • One measure of dispersion (deviation from the mean) of a data set. The larger the variance, the greater is the average deviation of each datum from the average value. Variance = Average value of the data set Variance = [(45 – 68.6)2 + (49 – 68.6)2 + (50 – 68.6)2 + (53 – 68.6)2 + …]/20 = 181 Excel Functions: VARP(), VAR()

Standard Deviation Square root of the variance. Can be thought of as the average deviation from the mean of a data set. The magnitude of the number is more in line with the values in the data set. Univariate Analysis/Descriptive Statistics Standard Deviation = ([(45 – 68.6)2 + (49 – 68.6)2 + (50 – 68.6)2 + (53 – 68.6)2 + …]/20)1/2 = 13.5 Excel Functions: STDEVP(), STDEV()

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Top 10 Templates to Present Qualitative and Quantitative Data Analysis in Research Proposal

Deepika Dhaka

  “Information is the oil of the 21 st century, and analytics is the combustion engine.” -Peter Sondergaard, Former EVP, Research & Advisory Gartner, Inc.

In this digital economy, data is the new oil. It is a precious and untapped asset, like oil in the 18th century, and can create huge rewards for those who know how to extract and use it in a fruitful manner.

It is a proven fact that data-driven companies outperform their competitors, and those that don’t use the data are always at a risk of falling behind. Also, a business’s innovation, problem-solving, and growth capabilities are as excellent as the data it gathers and leverages in decision-making.

What is Data Analysis in Research?

According to LeCompte and Schensul, data analysis is a procedure used by researchers to reduce data into a narrative and interpret it to extract insights. The data analysis process aids in the reduction of vast quantities of data into smaller pieces, which makes sense.

Data is essential to researchers since it allows them to tell stories or solve issues. It begins with a question, and data is simply a way to answer that question. But what if there’s no problem to solve?

Well, it’s possible to delve into the data without having a problem - it is called “Data Mining,” which uncovers some fascinating trends within the data that are worth examining.

What are Qualitative Data and Quantitative Data?

All data is unique in its ability to describe things after assigning a value to them. But for this description to be useful for analysis, one needs to organize these values and present them in a specific way that fits the T. To fulfill this, data comes in different forms; here are the most common data types.

Qualitative Data

Qualitative data is information that has words and descriptions. Even though you can see this data, it’s harder to study because it’s based on someone’s opinion. For example, if somebody is describing how something tastes good or their experience with something, that would be qualitative data. Qualitative data is usually collected through focus groups, personal qualitative interviews, or asking open-ended questions in surveys.

Quantitative Data

Quantitative data is any data that can be expressed in numerical figures. This data type can be categorized, grouped, measured, calculated, or ranked. For example, questions such as age, rank, cost, length, weight, scores, etc., all fall under this form of information. You may analyze this data using graphs or statistics.

Qualitative and Quantitative Data Analysis Templates for Research Proposal

Data is information, and information is power; those who know how to handle it are in a powerful position in their industry. If you, as a researcher, aim for good quality data and want to refine your data analysis process, having helpful resources in hand is a must.

Here are some fantastic templates from SlideTeam to ace your research proposal by presenting qualitative and quantitative data analysis in a visually appealing way. With these samples, your audience will understand your data in no time and make well-informed decisions to achieve their goals.

Let’s explore these easy-to-save samples right away!

Template 1: Qualitative and Quantitative Data Analysis PPT Template

Use this easy-to-understand framework to highlight the quantitative and qualitative review techniques you are going to use for collecting more information. This PPT Slide is appealing in a way to give your proposal a professional look. This content-ready slide already includes a few techniques, and you can add more as per your need.

Download this template

Template 2: Qualitative Risk Analysis Template

This PPT Layout is specifically designed for performing qualitative risk analysis in terms of probability, impact, risk value, and scale. You can include as many risk factors as you find during research, which will help you represent the data in a foolproof manner—as a result, coming up with strategies will be much easier. Make it yours now!

Template 3: Qualitative and quantitative risk analysis PPT Example

Employ this PowerPoint Layout to represent qualitative and quantitative data analysis and subjective and numerical evaluations. This slide includes stunning icons for each element and is created using an appealing color palette . Download it now if you want to offer your proposal with visual treats.

Template 4: Qualitative and Quantitative Analysis Roadmap Template

A roadmap is always an attractive way to present consolidated data. Use this PowerPoint Template to merge your qualitative and quantitative data analysis and showcase the outcome of your research. Isn’t it a convenient way to tell the story of a business?

Template 5: Qualitative and Quantitative Analysis KPI

Here’s a helpful PPT framework to showcase the KPIs in your qualitative and quantitative data analysis; this PPT Slide is an ideal pick. In this table, you can mention the goals, such as reach, engagement, influence, etc., and describe their KPIs in the adjacent columns. You can also add or reduce the number of goals and performance indicators. Download it now.

Template 6: Qualitative and Quantitative Analysis Plan Responses

This chart allows you to describe your risk management plan by dividing it into four segments. Qualitative and quantitative analysis are key parts of this process, allowing you to communicate complex things in a more manageable way for your audience. Download it today to draft a compelling idea.

Template 7: Qualitative and Quantitative KPIs to Prepare Report

Presenting a simple PPT theme to highlight the KPIs of your team. In this slide, you can define qualitative and quantitative KPIs in two separate sections for easy understanding. If you have an audience that is new to the concept, using this design is a perfect choice.

Template 8: Qualitative and Quantitative Research Tools

This PPT template uses a research tools matrix to collect qualitative and quantitative data for your research. It includes methods like A/B Testing, one-on-one interviews, documentary research, survey, etc. It also highlights the tips for understanding and measuring the market. Get it now.

Template 9:  Qualitative Risk Analysis Template

Presenting a unique way to showcase your qualitative risk analysis for quicker understanding. It is a project risk assessment matrix that measures the impact in terms of probability, negligible, minor, moderate, significant, and severe. It also includes a sticky note to mention any critical observations.

Template 10: Qualitative and Quantitative Research Proposal Icon Slide

Adding icons is always brilliant if you want your proposal to stand out. You'll find plenty of research-related icons on this slide that you can use to make your proposal more impactful. Just download the slide, and copy-paste any icon into your presentation wherever they fit best.

The Final Note

The value of data is that it provides you with information about the world that you previously lacked. Also, curiosity and learning lie at the heart of data analytics and data science. Discovering patterns, telling stories, and gaining a deeper understanding of the world around you are all essential. When used in the appropriate situation, this knowledge can make a significant difference not just to businesses but also to society.

Now that you know how to use these templates in your research and provide more insight to your audiences, it's time to put this knowledge into action. Now is the time to download this PowerPoint presentation and get started.

P.S. If you want to collect the right data to grow your business, here’s a handy guide with qualitative and quantitative market research templates.

FAQs on Quantitative and Qualitative Data Analysis in Research Proposal

What are the three qualitative analysis.

Qualitative research methods can broadly be divided into three categories: ethnography, phenomenology, and grounded theory. Ethnographic approaches are derived from anthropology, while phenomenological approaches are derived from philosophy. Grounded theory is a sociological approach that has recently gained popularity.

How do you collect qualitative and quantitative data?

Each data type requires unique methods to collect it. Quantitative data is gathered by measuring or counting, while qualitative data is collected through interviews or observation. Quantitative data analysis uses statistical methods, while qualitative data analysis sorts the information into meaningful sentences or stories.

What is meant by the research proposal?

A research proposal is a concise and coherent description of your planned study. It identifies the significant issues or questions you want to address. It summarizes the broad area of study in which your project lies, referring to current knowledge and recent debates over it.

What is the difference between qualitative data analysis and quantitative data analysis?

• Quantitative data is any information that can be quantified, tallied, or measured with a numerical value. Qualitative data is descriptive rather than numerical and is expressed in words rather than numbers.
• Quantitative research collects numeric data, while qualitative research focuses on understanding the qualities of users—or the reasoning behind the numbers.
• A successful data analysis may be complicated without qualitative and quantitative data. They both have advantages and disadvantages but often work together.  

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Data Analysis for Business Infographics

Free google slides theme and powerpoint template.

Introducing the new set of bright purple infographics that's here to help you up your data analysis presentation game! These infographics offer a visually comprehensible way to package your analysis results that can be easily grasped by everyone in your audience. With fully editable extra resources, you can customize each infographic to match your content even better if required. These resources are compatible with both Google Slides and PowerPoint, making it easy for you to incorporate them into your presentations. Don't wait, download your copy today!

Features of these infographics

• 100% editable and easy to modify
• 32 different infographics to boost your presentations
• Include icons and Flaticon’s extension for further customization
• Designed to be used in Google Slides, Microsoft PowerPoint
• 16:9 widescreen format suitable for all types of screens
• Include information about how to edit and customize your infographics
• Supplemental infographics for the template Data Analysis for Business

How can I use the infographics?

Am I free to use the templates?

How to attribute the infographics?

Combines with:

This template can be combined with this other one to create the perfect presentation:

Attribution required If you are a free user, you must attribute Slidesgo by keeping the slide where the credits appear. How to attribute?

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