11 Inspiring Presentation Designs Examples for Data Privacy
- Written by: Rishabh Pugalia
- Updated: May 31, 2023
Did I miss any points? Let’s connect on LinkedIn .
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Are you trying to stuff all the industry-specific terms while creating presentation designs for SaaS and web graphics?
I know what you’re trying to achieve.
You want your presentation and web graphics to be both informative and visually appealing at the same time!
However, your designers are struggling to find the right balance.
They are thinking: should we go for a minimalist design or a design with many complex elements? We get it! Finding the sweet spot between text and pictures is not easy.
So, here is what we did to solve that problem.
We studied hundreds of designs from data privacy companies (Consent Management Platforms). This way, you have a ready directory of presentation designs covering complex areas such as:
- Collect user consents
- Ensure GDPR, CCPA compliance
- Consent storage, retrieval
- Track consent changes
- Customize consent requests
- Opt-in, opt-out options
- Integration with other tools
- Analytics, insights
- Cookie management
- Privacy policy updates
- User-friendly consent UX
- Data breach notifications
- Consent audit trails
- API support
- Localization
Top 11 Presentation Designs Examples for Data Privacy
We curated a list of 10+ presentation designs and wrote a short description of each. This way, you can get ideas for your presentation designs.
Let’s get started!
1. TrustArc
TrustArc is an all-in-one privacy management platform helping businesses automate and simplify privacy tasks. It offers unique privacy tools, insights, and intelligence for complete privacy control in a constantly changing digital world.
What is so special about this design?
This graphic design uses a Simplified User Interface (SUI) with vector graphics (human characters). SUI eliminates unnecessary elements, keeping only what matters. This provides more visual clarity for users.
Here is another example from a Forrester report on TrustArc.
Let’s see what’s the WOW factor in this design.
Displaying key SaaS metrics & business KPIs, using flat icons and connecting them with a common line. The factor that sets this design apart is its minimalistic approach.
Let’s see some more examples of minimalistic designs from the same report.
FURTHER READING
- B2B Infographic Examples for the Modern Marketer
- Types of Marketing Collateral Design You Need to Know
MineOS is a highly rated data privacy platform, offering fast implementation time and high ROI. It features various technologies, such as email navigator, data classification, and consent management, to streamline and automate data privacy management. It supports various privacy regulations.
What’s the buzzworthy element in this design?
This presentation design uses a combination of client logo, key metrics & statistics, and basic chart visualization on a clean canvas. It results in a clean and practical design.
Let’s study more examples and observe what sets these designs apart.
This design defines a complex risk assessment concept using simple visual infographics. This image also used the layering of two floating panels with dashed arrows. Colors used include soft tones of primary hues.
Let’s continue and find out what makes this design unique.
The design features multiple layers along with an arrow to direct users to the next step. The CTA or call to action button is placed strategically to catch attention.
Below is an additional instance of presentation design example.
Let’s observe what makes this design a perfect combination of functionality and visual appeal.
This design showcases a comparison matrix in a minimalistic visual format. This results in a clean yet engaging design that is easy to understand.
What is the outstanding characteristic of this design?
This design employs color psychology by using one logo in a larger size and color, while the others are grayed out. This strategy ensures that the primary logo is the focal point of the design.
Let’s find out what makes this design functional and visually captivating.
This design captures the data sources, the process, and the outcome in a single infographic without cluttering it. This effectively uses ample whitespace, enhancing readability and maintaining a clean, uncluttered appearance.
Now, let’s see what is the defining feature of this design.
The design uses layering of multiple UI panels, along with a drop shadow effect, to create a sense of depth. The annotation circle around the “Allow all” button particularly draws attention.
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Twilio Segment (Segment earlier) is the world’s leading Customer Data Platform (CDP) that provides companies with reliable customer data to personalize experiences, make real-time decisions, and accelerate growth. Its platform connects and activates first-party data across 300+ marketing, analytics, and data warehousing tools.
What is the defining feature of this design?
This design offers a visual narrative that represents the methodology and workflow of the company. The defining feature here is the bilateral symmetry of the branches.
Let’s check out another similar example.
Let’s look at a different example and find out what is particularly remarkable about this design .
This design uses a Simplified User Interface (SUI) that presents a user-friendly experience. The layout features multiple floating UI panels that are layered seamlessly in a cohesive manner.
4. Usercentrics
Usercentrics is a global leader in Consent Management Platforms (CMP) that help businesses collect, manage, and document user consents to achieve privacy compliance, high consent rates, and customer trust. Its solutions cater to all enterprise sizes and serve clients worldwide.
What makes this design different from the rest?
This presentation design converts complex concepts in an easy to understand infographics to effectively convey the benefits of the SaaS model.
Here is another example. Let’s observe the unique features of this design .
This design is a visual representation of an instruction manual. It combines the use of flat icons and texts to effectively deliver the message.
5. Data Grail
DataGrail is a privacy platform that helps modern brands build customer trust and transparency by automating and scaling privacy, and staying compliant with GDPR, CCPA, and CPRA regulations. Its platform supports robust data mapping and privacy workflows and services millions of consumers worldwide.
What is so noteworthy about this design?
This presentation visually describes the 8 elements of the central idea using an infographic. Using flat icons alongside text helps in better comprehension.
Here is another example. Let’s go through it and find out what makes this design different from the rest .
This design breaks down the complex concept into various bite-sized groups and sub-groups. It uses simple shapes with an inbuilt pointer and multiple arrow branches.
6. Snowflake
Snowflake is a cloud data platform that delivers the Data Cloud, enabling organizations to mobilize data with near-unlimited scale, concurrency, and performance. It offers a single and seamless experience for data warehousing, data lakes, data engineering, data science, data application development, and data sharing.
What makes this design unique?
The design uses a combination of UI panels, flat icons, text, and flow charts. All these elements are layered to create a composition. The layers are further defined by the drop shadow effect.
Let’s continue and see what is particularly remarkable about this design .
The design features multiple company logos in one frame. They are aligned and placed in a symmetrical manner to keep visual noise minimal.
7. Securiti
Securiti is the leading provider of Unified Data Controls that create a layer of unified data intelligence and controls across all major public clouds, data clouds, and private clouds. Its DataControls Cloud enables enterprises to fulfill key obligations around data security, privacy, governance, and compliance in complex multi-cloud environments.
This design features multiple company logos, flat icons, and texts. Everything is organized around the center of the hexagon in radial symmetry.
Here is one more example. Let’s see what makes this design stand out .
In this design, the CTA or call to action button is tactically placed right above the badges of the company. This increases the likelihood of a visitor clicking on the CTA button.
8. Transcend
Transcend is a privacy platform that helps leading brands encode privacy across their tech stack, from data discovery to universal opt-outs. It offers solutions for data mapping, privacy requests, consent governance, and data processing risk mitigation. Transcend provides an easy, efficient, and seamless privacy program that flows across the tech stack.
The design combines 3D icons with statistics and texts. The title features typewriter font. The color combination is unusual but grabs attention.
Here is another example from the same website. Let’s observe what makes this design exceptional .
The design features a perfect balance of flat icons, statistics, and text. The typewriter font in the title adds charm while the bold colors and font keep it trendy.
The Monsido Data Privacy Module helps organizations comply with data protection and privacy standards by enabling control of website data. It is an add-on by Optimere that facilitates personal data management.
The design showcases illustrated user personas. The user profile is visually represented using flat icons and summarized data.
Here is a similar example of an illustrated employee persona.
10. Crownpeak
Crownpeak DQM automates governance processes, delivering consistent content quality and legal compliance standards across enterprise environments. The customizable platform includes compliance monitoring for SEO, UX, mobile web, accessibility and localizations. It integrates with any CMS, enabling seamless quality assurance.
What is noteworthy about this design?
This design uses a Simplified User Interface (SUI) to make an infographic. The design takes a minimalist approach to explaining complex concepts, using illustrations in a simple linear pattern and icons of a browser.
Seller Clarip provides a comprehensive SaaS data privacy platform for social, web, mobile, cloud app and IoT devices, enabling brands to minimize privacy risks and engage customers better.
What distinguishes this design from others?
The design features a visual representation of a timeline of events. One of the unique features is the yearly division of the timeline. The important dates and events are annotated properly.
Why choose Content Beta to create a Presentation Design for a Data Privacy company?
Here’s why Content Beta is the best choice for your Data Privacy company’s Presentation Design Service:
- We are specialists in B2B Tech, SaaS, and Software sectors.
- We understand your product, reducing the need for lengthy briefings.
- We streamline the process, removing the hassle of countless meetings.
- Our pricing is 100% transparent
- We offer fast turnarounds and respond on the same day.
- You’ll have a clear view of your project’s progress through our transparent dashboard
Unlike physical products, SaaS companies deal with abstract ideas, software UI, and concepts. They require a minimalist approach that conveys complex information concisely and clearly. Hence, creating presentation designs for them requires a different approach than traditional designs for companies selling physical products.
Additionally, software companies may need to use technical terminologies in their presentation designs.
With this in mind, our examples of presentation designs will provide you with many design ideas, all in one place. While each design is unique, all our examples prioritize a balance between text and visuals, resulting in clear and practical designs that are easy to understand.
Presentation designs are used in Market Research Presentations, Investment Pitch Proposal, Go To Market (GTM) Plan, User Personas of ICPs, Marketing Events Presentations, Marketing Blueprint, Marketing Funnel Playbook, Social Media Strategy, Sales Pitch Deck, Product Demo Videos, Web designs and infographics, Landing pages, Online Ads, Lead Magnets, Whitepaper, etc.
The common mistakes to avoid in creating presentation designs are –
- Not following branding guidelines
- Not using minimalism, cluttering the design with too much text or too many images,
- Not considering the target audience or buyer persona, using irrelevant visuals or graphics,
- Not using call to action (CTA),
- Not reviewing the design for errors or inconsistencies, and not focussing on the user experience (UX).
The key elements of a presentation design are –
- Clear and concise message,
- Minimalist approach with a balance between text and visuals, consistent branding and use of color,
- Proper use of technical terminologies,
- High-quality images and graphics,
- Easy-to-navigate layout,
- Call-to-action (CTA) that encourages the audience to take action,
- Mobile responsiveness,
- Accessibility for all users,
- Using data visualization to support key points.
Using a storytelling approach with relevant case studies and testimonials can also help engage the audience and make the presentation more memorable.
Here are some tips to make a good PowerPoint presentation –
- Keep the message simple and brief.
- Use engaging visuals to make the presentation more appealing
- Keep all your branding elements consistent. It creates a professional look and establishes brand recognition.
- Ensure the presentation progresses logically from one point to the next.
- Add in some interactive bits – polls, quizzes, discussions. It keeps the audience engaged and stimulates interest.
- Visualizing data can make complex ideas more easy to grasp.
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Data Privacy Infographics PPT and Google Slides Themes
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Information Privacy Powerpoint Presentation Slides
Data privacy, also known as information privacy, is a subset of data protection that deals with the correct handling of sensitive data and other sensitive information, such as certain financial records and intellectual property data. Grab our insightfully designed Information Privacy IT template that gives an overview of the data privacy provider firm, the automated data privacy services provided, and its past track record. In addition, this PPT gives a brief introduction to data privacy, its elements, and its five rules it also shows different privacy laws, such as GDPR law and CCPA law, which govern data privacy. Moreover, this Information Privacy presentation represents Data privacy in various industries, including healthcare and financial institutions. Further, the Data Privacy template caters to how the company helps with data privacy and an implementation process, including a checklist, training program, and estimated budget. This PowerPoint presentation outlines the challenges businesses face to protect the privacy of users data, demonstrates the difficulties faced by users, and more. Lastly, the Information Privacy deck comprises a 30-60-90-days plan, a roadmap, a risk-evaluating dashboard, etc. Customize this 100 percent editable template now.
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This complete deck covers various topics and highlights important concepts. It has PPT slides which cater to your business needs. This complete deck presentation emphasizes Information Privacy Powerpoint Presentation Slides and has templates with professional background images and relevant content. This deck consists of total of sixty four slides. Our designers have created customizable templates, keeping your convenience in mind. You can edit the color, text and font size with ease. Not just this, you can also add or delete the content if needed. Get access to this fully editable complete presentation by clicking the download button below.
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Content of this Powerpoint Presentation
Slide 1 : This slide displays the title Information Privacy. Slide 2 : This slide displays the title Agenda for information privacy. Slide 3 : This slide exhibit table of content. Slide 4 : This slide exhibit table of content. Slide 5 : This slide exhibit table of content- About Us. Slide 6 : This slide describes our data privacy provider company for different industries such as financial healthcare, including our vision and core values. Slide 7 : This slide highlights our company's automated data privacy services, such as an advanced level of data governance, an architecture based on workflow, and so on. Slide 8 : This slide highlights our past track record as a data privacy provider company and outlines that we promise 100% client satisfaction. Slide 9 : This slide explains why you should choose us, including faster product delivery to market, decreased complexity, and secured integrations. Slide 10 : This slide exhibit table of content- Need for Data Privacy. Slide 11 : This slide illustrates the benefits of complying with data privacy laws. Slide 12 : This slide illustrates the importance of data privacy in terms of developing trust with customers that value privacy and assisting with data management. Slide 13 : This slide exhibit table of content- Overview of Data Privacy. Slide 14 : This slide provides a quick overview of data privacy, which refers to a person's capacity to control how much of their personal information is shared. Slide 15 : This slide depicts the elements of data privacy. Slide 16 : This slide outlines the five data privacy rules, which are consent, purpose, disposal and destruction, access and security, accountability and disclosure. Slide 17 : This slide exhibit table of content- Data Privacy Laws. Slide 18 : This slide explains the General Data Protection Regulation; it is the most extensive data protection law applied to each member of the EU. Slide 19 : This slide represents the seven principles of GDPR law. Slide 20 : This slide shows the lawfulness, fairness, and transparency concept. Slide 21 : This slide depicts the purpose limitation principle. Slide 22 : This slide highlights the data minimization principle. Slide 23 : This slide depicts the accuracy principle, which emphasizes that you are responsible for all efforts taken to ensure the data's privacy. Slide 24 : This slide conveys the GDPR law's storage limitation principle. Slide 25 : This slide describes the integrity and confidentiality principle of GDPR. Slide 26 : This slide shows the accountability principle of GDPR law. Slide 27 : This slide describes the California Consumer Privacy Act, which allows people of California to inquire about their information. Slide 28 : This slide exhibit table of content- Data Privacy in Various Industries. Slide 29 : This slide represents the data privacy in financial institutions. Slide 30 : This slide represents data privacy in the healthcare industry, decreasing risks and keeping the business operations functioning. Slide 31 : This slide shows the data privacy in the IT sector, companies are compelled to examine their personal identifiable information-concerned operations, and so on. Slide 32 : This slide depicts data privacy in educational institutions, institutions should issue a notice period of two days for approval before disclosing any information. Slide 33 : This slide shows that information privacy laws are beneficial for both social media platforms. Slide 34 : This slide exhibit table of content- How we Help with Data Privacy? Slide 35 : This slide explains we help you with data privacy by monitoring access of sensitive and regulated data. Slide 36 : This slide highlights that you will have continuous monitoring and detection of abnormal activities of all the organization’s data. Slide 37 : This slide shows that you can use a data classification engine to locate and categorize regulated and sensitive material. Slide 38 : This slide exhibit table of content- Implementation of Data Privacy. Slide 39 : This slide represents the checklist for data privacy implementation. Slide 40 : This slide depicts the estimated budget of incorporating data privacy laws, as well as the cost of each activity to the company. Slide 41 : This slide represents the data privacy training program by covering the details of topics such as benefits and laws and duration for each topic to be covered. Slide 42 : This slide exhibit table of content- Challenges in Data Privacy and Comparison with Security. Slide 43 : This slide depicts the challenges faced by businesses to protect consumer's data privacy. Slide 44 : This slide outlines the challenges users face in data privacy. Slide 45 : This slide compares data privacy with data security, indicating that security is concerned with safeguarding data, and privacy is about responsible data usage. Slide 46 : This slide exhibit table of content- Impact of Data Privacy Laws Implementation. Slide 47 : This slide shows the impact of data privacy laws implementation. Slide 48 : This slide exhibit table of content: 30-60-90 Days Plan for Data Privacy. Slide 49 : This slide represents the 30-60-90 days plan for data privacy. Slide 50 : This slide exhibit table of content- Roadmap for Data Privacy Implementation. Slide 51 : This slide depicts the roadmap for data privacy implementation. Slide 52 : This slide exhibit table of content- Risk Evaluation Dashboard for Data Privacy. Slide 53 : This slide depicts the risk evaluation dashboard for data privacy. Slide 54 : This is the icons slide. Slide 55 : This slide presents title for additional slides. Slide 56 : This slide shows puzzle for displaying elements of company. Slide 57 : This slide display Venn diagram. Slide 58 : This slide depicts posts for past experiences of clients. Slide 59 : This slide display Magnifying glass. Slide 60 : This slide depicts 30-60-90 days plan for projects. Slide 61 : This slide exhibits yearly timeline of company. Slide 62 : This slide display Target. Slide 63 : This slide exhibits ideas generated. Slide 64 : This is thank you slide & contains contact details of company like office address, phone no., etc.
Information Privacy Powerpoint Presentation Slides with all 69 slides:
Use our Information Privacy Powerpoint Presentation Slides to effectively help you save your valuable time. They are readymade to fit into any presentation structure.
Our company provides automated data privacy services, such as an advanced level of data governance, an architecture based on workflow, and continuous monitoring and detection of abnormal activities of all organization’s data.
You should choose us for faster product delivery to market, decreased complexity, and secured integrations, and we promise 100% client satisfaction with our past track record as a data privacy provider company.
The five data privacy rules are consent, purpose, disposal and destruction, access and security, and accountability and disclosure.
GDPR is the most extensive data protection law applied to each member of the EU, and it emphasizes the lawfulness, fairness, and transparency concept, purpose limitation principle, data minimization principle, accuracy principle, storage limitation principle, integrity and confidentiality principle, and accountability principle.
Data security is concerned with safeguarding data, while data privacy is about responsible data usage, i.e., how much of personal information is shared with others.
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Ten Slide Ideas to Explain GDRP Data Privacy Rules
Last Updated on March 1, 2024 by Rosemary
The data privacy topic is widely discussed today with the new regulation initiated by the European Union. However, it affects businesses worldwide – any company with leads or clients from an EU country. We saw companies struggling with communicating their updated data protection policies to clients and employees.
To make this explanation of GDPR topics easier, we prepared a bunch of PowerPoint slide examples for your inspiration, that will help you illustrate the whole data privacy concept.
Elevate your business performance presentations with our curated resources – visit our financial performance PPT reports webpage.
All presentation examples are from the Data Privacy GDPR Training PPT Template (see details by clicking the pictures).
Use these examples to recreate more engaging materials, whether you are doing internal training or writing a newsletter. Adding even a simple picture illustration of those complex topics can do wonders.
How you can use the Data Privacy GDPR visualization?
- For training your employees about new data protection laws.
- Make quickly informational materials, one-pagers, or leaflets informing your clients about the impact of GDPR on them.
- Create catchy promotional materials if you offer solutions for data privacy.
- Design explanation infographics to put in documents where you ask clients and leads for various marketing data processing consent.
- Educating your online audience about their rights under new EU GDPR rules.
In the post, you’ll find ideas on how to present and illustrate all the details of GDPR most understandably.
Explaining What is GDPR
General Data Protection Regulation is a set of unified rules for all EU countries. It is valid since May 25, 2018.
To present this basic definition, add those points in your presentation, then show the goals of the new policy, to explain the background motivation for this regulation.
There are two main goals of this GDPR regulation:
- Protect personal data & strengthen the privacy rights of EU individuals
- Give users control over their data
Show Who is Involved
The next important pillar – is who is affected by data protection law. In fact, GDPR affects all businesses collecting or holding personal data on EU citizens. We advise using a simple map with a distinct note.
List the Data Types
You will perhaps need to explain what data are we actually talking about. To help you illustrate this, check the slide below.
On this slide, we listed several types of personal and sensitive data:
- Bank / Credit cards
- Email address
- Online identifiers
- Biometric data
- Genetic data
- Health data
They are easily editable so you can add or remove items specific to the business.
Illustrate GDPR Penalties & Fines
Many GDPR marketing materials warn us that the stakes are high following this policy. For example, you have to report within 72 hours if your data is breached unless you are ready to face a fine of up to 20M euros.
If you want to make an impact with this GDPR penalty point, create simple slide infographics – to create a strong message that you definitely have to protect the data in order to avoid fines 🙂
Present Individual User’s Rights
This GDPR regulation defines a set of specific rights that individuals should be ensured, concerning their personal data.
Below you can see examples of two slides: the first, it explains what points must be ensured for an individual, and the second shows individual rights in strong visual form.
An example list of things that an individual should have the right to:
- Getting consent to process personal data
- Right to be forgotten
- Right to modify personal data
- Transparency – right to get information
- Can request data in a portable format
This list is not complete, just an illustration of how you can create your own list that fits your business.
The six areas of user’s rights defined in GDPR documents are:
- Right to Access
- Right to Rectification
- Right to Erasure
- Right to Restriction of Processing
- Right to Data Portability
- Right to Object
When explaining them, we suggest adding specific symbols to each for better readability of the topic.
Talk about Data Controller View Point
The next slide explains what a company should do and remember in the context of the new regulations. Those are the responsibilities of the data controller – institution using the personal data of individuals from the EU:
- Audit data usage (what is collected, where stored)
- Appointing DPO = Data Protection Officer
- Check Data Processors
- Monitoring data breach
- … add your own points here
Present Steps for an Online Business for GDPR Compliance
If you need to present procedures a company should do, Step diagrams are a good tool to consider.
Here we listed an illustration example of four stages to follow towards the new policy, but you can add or remove steps to fit your case:
- analyze what information you collect,
- check storage time,
- inform your client,
- monitor the access to personal clients’ data.
Show Data Protection Stakeholders and Their Relations
Stakeholders are in fact any entities involved in this data protection policy, starting from private persons whose personal data we talk about, institutions collecting and processing this personal data as well as data processors (companies storing the data, think Google, Amazon here). And data authorities – public institutions defined by EU member countries.
The first slide shows the GDPR stakeholders and the second presents the relations between them: with diagrams, it’s much easier to explain such entangled topics.
The typical stakeholders of data protection regulation are:
- Data Subject – an individual, a resident of the European Union, whose personal data are to be protected
- Data Controller – an institution, business, or a person processing the personal data e.g. e-commerce website.
- Data Protection Officer – a person appointed by the Data Controller responsible for overseeing data protection practices.
- Data Processor – a subject (company, institution) processing data on behalf of the controller. It can be an online CRM app or a company storing data in the cloud.
- Data Authority – a public institution monitoring the implementation of the regulations in the specific EU member country.
Having a set of symbols assigned to each subject, you can quickly create a simple diagram, showing relationships and connections among those GDRP subjects.
Such a drawing can serve as a great explanation basis for data privacy-related training.
Presenting Online Tools related to GDPR
With new rules, it is important to understand which tools and applications to use to follow the policy correctly and avoid penalties that were discussed before.
Some typical tools and applications related to data protection :
- mail collection and mailing apps – they usually provide tools such as Double opt-ins, Agreement boxes (should not be pre-checked), forms for collecting clear data consent & presenting data usage statements, unsubscribe options for newsletters
- data processors – each processor should have defined GDPR statements and features allowing e.g. data retention, data portability, and data access control.
- privacy policies – there are a bunch of GDPR policy templates on the web, mostly provided by law companies offering also consultancy, which you can use. Seek also for guidelines given by the European Union or local EU member states’ regulator institutions.
- cookie control banners – seek WordPress plugins or other tools allowing you to implement cookie pop-up banners and consent to collect in case of visitors from the European Union.
Illustrate GDPR Terms & Requirements
The last recommended slide shows the example of terms and documents required for GDPR: terms, privacy policy, cookie files policy, and consent. Here is the place to clearly define what data are collected, and what is the purpose for collecting those data, e.g. for providing the product and services, for billing, for dispute solving, or for marketing purposes. According to GDPR requirements, you should state in clear English what rights a user has, too.
Illustrative icons will help the audience catch the points faster. The specific content of policy should be defined by a company legal person.
Those pictures are example graphics we prepared. You can create your own using only part of existing graphics – icons or diagrams, modifying their colors and content. e.g. add your own set of personal data examples.
For more inspiration, subscribe to our YouTube channel:
Resources: Presentation Template for Data Protection Regulation
To help you illustrate and explain all the details of the new policy, we designed a PowerPoint template you can reuse.
The infoDiagram Data Privacy GDPR Training Template will help you prepare visual presentations or training materials about What is GDPR, Who is affected, Who is involved, and what actions should be done. You can easily prepare professional-looking slides by copying some of the predesigned diagrams and timelines into your company deck.
What’s inside the Data Privacy GDPR Training PPT Template?
The GDPR and Data Privacy PowerPoint Graphics include:
- 15 editable diagram charts of GDPR definition, stakeholders, affected countries map, Stakeholders, Personal data and Sensitive data list, list of rights for access, rectification, erasure, and portability.
- Template diagrams you can use to present processes and steps data controller companies should take, types of collected data. There is a GDPR subjects relations chart you can modify to fit your case. We added also a template of privacy policy document requirements – Terms, Privacy, and Cookie policy.
- 50 outline icons representing various data protection items such as consent, rights, data transparency, monitoring, and roles of a data controller, data processor, and supervising authority.
You can see the full template here:
See Data Privacy GDPR Template
If you want to get more infographics slides, check this PPT diagrams graphics Bundle with over 200 slides.
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2 thoughts on “Ten Slide Ideas to Explain GDRP Data Privacy Rules”
Thank you guys, teh information and the video were so good and will help me to explain for my stakeholders. Thx again Eddie
thanks Eddie! We’re glad our blog is useful for you 🙂
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111 Best Privacy-Themed Templates for PowerPoint & Google Slides
With over 6 million presentation templates available for you to choose from, crystalgraphics is the award-winning provider of the world’s largest collection of templates for powerpoint and google slides. so, take your time and look around. you’ll like what you see whether you want 1 great template or an ongoing subscription, we've got affordable purchasing options and 24/7 download access to fit your needs. thanks to our unbeatable combination of quality, selection and unique customization options, crystalgraphics is the company you can count on for your presentation enhancement needs. just ask any of our thousands of satisfied customers from virtually every leading company around the world. they love our products. we think you will, too" id="category_description">crystalgraphics creates templates designed to make even average presentations look incredible. below you’ll see thumbnail sized previews of the title slides of a few of our 111 best privacy templates for powerpoint and google slides. the text you’ll see in in those slides is just example text. the privacy-related image or video you’ll see in the background of each title slide is designed to help you set the stage for your privacy-related topics and it is included with that template. in addition to the title slides, each of our templates comes with 17 additional slide layouts that you can use to create an unlimited number of presentation slides with your own added text and images. and every template is available in both widescreen and standard formats. with over 6 million presentation templates available for you to choose from, crystalgraphics is the award-winning provider of the world’s largest collection of templates for powerpoint and google slides. so, take your time and look around. you’ll like what you see whether you want 1 great template or an ongoing subscription, we've got affordable purchasing options and 24/7 download access to fit your needs. thanks to our unbeatable combination of quality, selection and unique customization options, crystalgraphics is the company you can count on for your presentation enhancement needs. just ask any of our thousands of satisfied customers from virtually every leading company around the world. they love our products. we think you will, too.
Widescreen (16:9) Presentation Templates. Change size...
Business man executive peeking through vertical blinds
PPT theme featuring network security and privacy crime mixed media
Slide deck with network security and privacy crime mixed media background
Presentation design with network security and privacy crime mixed media mixed media
Slide set with network security and privacy crime mixed media background
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Slide set with network cable and a condom on a white background privacy and data security
Presentation theme with file folder with chain and padlock closed privacy and data security
Presentation design enhanced with fence built from wood outdoor landscape security and privacy concept vancouver canada
PPT layouts enhanced with data privacy concept with hacker stealing personal information
Presentation design with man wearing a suit showing a signboard with the text privacy written in it background
Slide set consisting of secure your privacy mixed media
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PPT theme featuring computer keyboard and the shadow of a hand theft of data background
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PPT layouts featuring protect your privacy
PPT layouts featuring beautiful white bed on the beach near wild nature place for relaxing and privacy
Slides having fence built from wood outdoor landscape security and privacy concept vancouver canada
Slide set featuring protect your privacy backdrop
Presentation theme having business man pointing to transparent board with text privacy policy
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Theme having fence built from wood outdoor landscape security and privacy concept vancouver canada
Presentation design enhanced with mysterious man with privacy inscription online security concept backdrop
Theme consisting of secure your privacy
PPT layouts consisting of secure your privacy backdrop
Theme enhanced with privacy safety concept mixed media
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Presentation featuring data privacy concept with hacker stealing personal information
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PPT theme having businessman looking through virtual reality glasses with online privacy inscription cyber security concept
More privacy templates for powerpoint and google slides:.
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Privacy 101 presentation package
The Office of the Privacy Commissioner of Canada ( OPC ) is committed to helping increase privacy awareness among Canadians, and providing information on protecting privacy and on privacy rights and protections in Canada.
We have developed a presentation package that provides all the tools necessary for an engaging and effective presentation for a general audience.
What will you find in this package?
- A PowerPoint Presentation ( This is a large file and may take a few minutes to download depending on your connection speed. This presentation is best viewed on the big screen and not in printed form. ) : This presentation contains helpful information and examples.
- Speaking Notes ( PDF ): The speaking notes are numbered to match the PowerPoint slides. Everything is presented in a chronological order so it is easy to follow.
- A chance to provide your feedback : Please don’t hesitate to share your feedback at [email protected] and let us learn from your experiences so that we can continue to improve the tool.
How can you get involved?
We want you to take this presentation and make it your own. You can present this material in community centres, in your local library, to community groups, or simply to your own family and friends.
How long is the presentation?
The presentation takes roughly 20 minutes to deliver, but can take longer if you allow time for discussion topics.
Vie privée or Privacy?
Everything is available in French and English!
What if you need help or have questions?
Public education officers at our Office will be more than happy to answer any questions you may have about this presentation. You can contact them at [email protected] .
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Data Security and Privacy
Published by Harvey Wilkins Modified over 8 years ago
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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.
We can label a presentation under the title of data presentation when the aim is to disclose quantitative information to an audience through the usage of visual formats and narrative techniques. The overall purpose of this kind of presentation is to simplify complex concepts, allowing the presenter to highlight trends, patterns, and insights with the core purpose of acting upon the shared information. This process requires a series of tools, such as charts, graphs, tables, infographics, dashboards, and so on, supported by concise textual explanations for better understanding and boosting retention rate.
Data presentations go beyond the mere usage of graphical elements. Seasoned presenters encompass visuals with the art of storytelling with data, 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.
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.
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.
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.
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.
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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Below you'll see thumbnail sized previews of the title slides of a few of our 111 best privacy templates for PowerPoint and Google Slides. The text you'll see in in those slides is just example text. The privacy-related image or video you'll see in the background of each title slide is designed to help you set the stage for your privacy ...
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The EMC mobile application allows you to view the schedule, sponsors, speaker, poster, exhibitor, and attendee details from the event. Users can take notes adjacent available presentation slides and draw directly on slides inside the app. Users can also create personal schedules in the My Plan secti…