No More Noise! Effective Communication Through Data Visualization

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Does meeting your organization's goals and mission depend on effectively integrating data visualization into your communications? Does gaining buy-in for the ideas your brand stands for hinge on the quantitative facts behind the story? Do you struggle with turning endless streams of complex data into useful and actionable information?

Learn the fundamentals of data visualization—it's history, how it works and best practices for maximizing its impact on your organization and mission through your communications—in this presentation unveiled at The Grant Managers Network 9th Annual Conference in 2014.

Matt Schwartz, Founder and Director of Strategy at Branding & Interactive Agency, MSDS shares insights on data visualization gained over 14 years of designing branding and user experience for nonprofits and universities, including:

• A Brief History of Dataviz
• The 2 Key Audiences You Need to Connect With
• The 3 Primary Intents & Usages of Data Visualization
• Dataviz Do's & Dont's
• Tying It All Together: A Case Study

You'll walk away with a new perspective into how dataviz can help your brand turn complex dynamics into a powerfully simple story—creating a deeper understanding of the issues, delivering fresh insights, and ultimately generating action.

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No More Noise! Effective Communication Through Data Visualization

  1. 1. Designing A New Way Forward No More Noise! Communicating Effectively 
 Through Data Visualization
  2. 2. Hello From NYC!
  3. 3. How Will We Be Spending Our Time? 30 5 20 10 30 5 History of Dataviz Audiences & Intents Dos & Don'ts Case Study Summing Up Discussion
  4. 4. A Brief History of 
 Data Visualization PART ONE
  5. 5. Babylonian Map of the World, the oldest known data visualization 600 BCE 1939 Today
  6. 6. 600 BCE 1939 Today Willard C. Brinton pens the defining work on data visualization
  7. 7. The information age: data visualization of Tweets across the globe 600 BCE 1939 Today
  8. 8. Data Visualization: Audiences & Intents PART TWO
  9. 9. Understanding Your Audience Lay Audiences • Limited experience 
 in related field • General awareness 
 of underlying issues • Basic familiarity 
 of data visualization Expert Audiences Extensive experience 
 in related field In-depth understanding 
 of underlying issues Advanced facility 
 with data visualization ! • 
 • 
 •
  10. 10. The Three Primary Intents of Dataviz RESEARCH COMMUNICATIONSANALYTICS
  11. 11. RESEARCH
  12. 12. Google Spreadsheet: OECD Factbook 2012
  13. 13. Google Public Data Explorer: OECD Factbook 2013
  14. 14. Wired Magazine: “What a Hundred Million Calls to 311 Reveals about NYC
  15. 15. ANALYTICS
  16. 16. Google Analytics Google Analytics: Dashboard
  17. 17. Campaign Monitor Analytics
  18. 18. Tableau: Dashboard
  19. 19. COMMUNICATIONS
  20. 20. Pollution Atlas: Data-Centric Communication
  21. 21. Dropout Epidemic By The Numbers: Narrative-Influenced Communication
  22. 22. Dangers of Fracking: Narrative Communications Supported by Data
  23. 23. Some Do’s & Dont’s PART THREE
  24. 24. Tying It All Together 
 The Yale Environmental Performance Index www.epi.yale.edu PART FOUR
  25. 25. Summing Up PART FIVE
  26. 26. Best Practices KNOW YOUR AUDIENCE
 Effective data visualizations cater to the audience, so it’s important to understand where your audiences fall on the lay person / expert spectrum. SIMPLER IS BETTER
 Don’t overcomplicate your visualization; the simpler you keep things, the more efficient the visualization will be in getting a point across. CONSISTENCY = LOGIC
 A consistent design system of colors, fonts, illustration and charts helps audiences navigate the visualization and speeds comprehension. RESPECT THE DATA
 Accuracy is critical when translating data into a visual language, but it’s also important to ensure that underlying meaning isn’t lost in translation.
  27. 27. Top-Level Takeaways • Data Visualization is not new, but it is enjoying a renaissance • Dataviz helps us research and achieve a deeper understanding of abstract phenomena that can’t be easily explained • Visual analytics help us to synthesize data dynamics and understand complex systems through different lenses • Dataviz communications help us translate data into more compelling stories to wider audiences, raising awareness and generating action • Effective Data Visualization best practices balance the need for visual interest to engage audiences, while maintaining respect for the data.
  28. 28. No More Noise! Get in Touch Designing A New Way Forward Matthew Schwartz Matthew.Schwartz@ms-ds.com 212-925-6460 ext. 124 On Twitter @msdsbranding www.ms-ds.com

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