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DMS: Making Data More Beautiful
DMS: Making Data More Beautiful
DMS: Making Data More Beautiful
DMS: Making Data More Beautiful
DMS: Making Data More Beautiful
DMS: Making Data More Beautiful
DMS: Making Data More Beautiful
DMS: Making Data More Beautiful
DMS: Making Data More Beautiful
DMS: Making Data More Beautiful
DMS: Making Data More Beautiful
DMS: Making Data More Beautiful
DMS: Making Data More Beautiful
DMS: Making Data More Beautiful
DMS: Making Data More Beautiful
DMS: Making Data More Beautiful
DMS: Making Data More Beautiful
DMS: Making Data More Beautiful
DMS: Making Data More Beautiful
DMS: Making Data More Beautiful
DMS: Making Data More Beautiful
DMS: Making Data More Beautiful
DMS: Making Data More Beautiful
DMS: Making Data More Beautiful
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DMS: Making Data More Beautiful

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There’s more data than ever -- and more ways to get it. As the world gets more complex and attention spans grow shorter, brands and marketers are being pushed to present information in meaningful, …

There’s more data than ever -- and more ways to get it. As the world gets more complex and attention spans grow shorter, brands and marketers are being pushed to present information in meaningful, digestible and visual ways. In this session, Lee Sherman, Visual.ly co-founder and chief content officer, will discuss best practices for using big data as a marketing vehicle for your organization and will share his tips and tricks for developing successful infographics that will get your organization noticed.
Speaker: Lee Sherman, co-founder and chief content officer, Visual.ly @lsherman

Published in: Education, Technology
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  • Team has leading experts in marketing, product development, and content curation\n
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  • Transcript

    • 1. MAKING DATA BEAUTIFUL…AND MEANINGFUL
    • 2. WE BELIEVE THAT AN INFOGRAPHIC IS “graphic visual representation of information, data or knowledge”1 THAT“presents complex information quickly andclearly”1 AND IT “should not merely communicate clearly, but stimulate viewer engagement and attention”2 1 Source: http://en.wikipedia.org/wiki/Information_graphics 2 Source: http://en.wikipedia.org/wiki/Data_visualization
    • 3. WHY ARE INFOGRAPHICS A BIG DEAL?
    • 4. THREE REASONS: DEMAND, IMPACT, GROWTH“There is a need for ongoing innovation in tech andtechniques that will help individuals andorganizations to integrate, analyze, visualize, andconsume the growing torrent of big data.”*High quality visualizations are 30x more likely to beengaged and shared by viewers over comparable textarticles.Advertisements in the form of visualizations are 6xmore effective than other online ads.Publishers who use visualizations have grown anaverage of 12% compared to 1% for those who havenot.*Source: http://www.mckinsey.com/mgi/publications/big_data/index.asp
    • 5. WHAT MAKES A GOOD INFOGRAPHIC?
    • 6. TELL A STORYWITH THE DATAA good story trumpsgreat design. Channelyour inner journalist.
    • 7. CATCH THETheVIEWER’S EYE Internet is a visualmedium. You need to gettheir attention before youcan persuade them.
    • 8. THE DIFFERENT TYPES OF INFOGRAPHICS
    • 9. 1. Observational Humor
    • 10. 2. Novel Insights
    • 11. 3. How To
    • 12. 4. Timely Issue
    • 13. Design
    • 14. DISTRIBUTION CASE STUDIES
    • 15. CASE STUDY 1 Techcrunch: Twitter story News breaking Additional Content creation: rights: distribution: Visual.ly TechCrunch Visual.ly networkTechCrunch requested that we create aninfographic for Twitter’s 5th anniversary.The piece was branded by Visual.lyTechCrunch was given the exclusive right tobreak the story.Result: The piece got 5x more Tweets, 6xmore Shares on LinkedIn and Facebook thanan average Techcrunch post.The graphic eventually got additional 9kviews on Visual.ly and became the top rankedgraphic in social media.
    • 16. CASE STUDY 2 startup genome projectData source: News breaking Additional Content creation: Startup rights: distribution: Visual.ly Genome TechCrunch Visual.ly networkWe collaborated with Startup Genome to createan infographic with their data.The piece was co-branded by both StartupGenome and Visual.ly TechCrunch was given the exclusive right tobreak the story.Result: The piece got 4x more Tweets, 6xmore Shares on LinkedIn, and 12x moreshares on Facebook than an averageTechcrunch post.The graphic eventually got additional 16kviews on Visual.ly and became the top rankedgraphic in the business category.
    • 17. STATIC INFOGRAPHICS What are the Odds? Infographic seeding Additional Content creation: across social distribution: Visual.ly networks Visual.ly networkVisual.ly published a static existential piece andwitnessed astronomical results.Result: The infographic was distributed acrossFacebook, Twitter, StumbleUpon, digg, Reddit,TechCrunch, Mashable, and other popularpublisher websites.The infographic has received over 1.5M viewson Visual.ly alone.Over 16,000 infographics published onVisual.ly from the likes of Skype, NationalGeographic, eBay, CNN, Facebook, Google,Twitter, Oracle.
    • 18. HOW CAN YOU USE INFOGRAPHICS?
    • 19. INSIDE YOUR COMPANYHelp achieve your goals bycreating effective, persuasive, andappealing visualizations.
    • 20. ENHANCE YOUR PUBLICATION/ BLOGDeliver great visualizations ondeadline and in sync with thenews cycle.
    • 21. IMPRESS YOUR CLIENTSInfographics help agencies anddesigners by bringing their datato life and showcasing theiraccomplishments.
    • 22. EDUCATEHelp educators tell compellingstories and reach their studentsin new ways.
    • 23. InfographicEthicsWe recommend that you subscribe to the code of ethics of the Society of ProfessionalJournalists and agree to abide by all of its principles.In addition, there are 3 principles you should follow to support data analysis andvisualization:1) Data should be accurate and verifiable - don’t "lie with statistics."2) Proper Sourcing & Attribution -  Always give credit where due and do your ownreporting.3)  Best Practices in Visual Representation - don’t exploit idiosyncrasies of the humanvisual system to exaggerate or misrepresent data.Your policy should be one that encompasses accuracy, honesty, and transparency.
    • 24. Seeing is believing.

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