Rave Reviews: How to Dazzle Decision-Makers with Data


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The Briefing Room with Dr. Robin Bloor and IBM Business Analytics
Live Webcast Oct. 29, 2013
Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?AT=pb&SP=EC&rID=7691327&rKey=cd0c2bf8140ac684

You know that a-ha moment--when you discover that key business insight. That special moment often occurs when you design an effective data visualization. The obvious challenge is that doing so usually requires far more than a pie chart. Luckily, there's something of a revolution happening in the field of data visualization. Thanks to the powers of standards and collaboration, the variety of data visualizations available to information workers is at an all-time high.

Register for this episode of The Briefing Room to learn from veteran Analyst Dr. Robin Bloor, who will explain why a proliferation of new data visualization options is fundamentally changing the way analytics deliver value. He'll be briefed by Noah Iliinsky of IBM, who will tout his company's new extensible visualization capabilities, which give end users access to an ever-growing library of data visualizations. He'll also discuss his four pillars for effective visualizations, and how professionals can use them to create lasting impact.

Visit InsideAnalysis.com for more information

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Rave Reviews: How to Dazzle Decision-Makers with Data

  1. 1. Rave Reviews – How to Dazzle Decision-Makers with Data The Briefing Room
  2. 2. Welcome Host: Eric Kavanagh eric.kavanagh@bloorgroup.com Twitter Tag: #briefr The Briefing Room
  3. 3. Mission !   Reveal the essential characteristics of enterprise software, good and bad !   Provide a forum for detailed analysis of today s innovative technologies !   Give vendors a chance to explain their product to savvy analysts !   Allow audience members to pose serious questions... and get answers! Twitter Tag: #briefr The Briefing Room
  4. 4. Topics November: DATA DISCOVERY & VISUALIZATION December: INNOVATORS Twitter Tag: #briefr The Briefing Room
  5. 5. Data Visualization “ Learning  is  more  effec.ve   when  it  is  an  ac.ve  rather   than  a  passive  process.   ~Euripides Twitter Tag: #briefr The Briefing Room
  6. 6. Analyst: Robin Bloor Robin Bloor is Chief Analyst at The Bloor Group robin.bloor@bloorgroup.com Twitter Tag: #briefr The Briefing Room
  7. 7. IBM !   IBM Business Analytics offers a wide range of business intelligence, analytics and performance management solutions !   Many Eyes, powered by the IBM Rapidly Adaptive Visualization Engine (RAVE), is a web community that helps users create advanced visualizations from public data sets !   Visualizations can be shared and embedded Twitter Tag: #briefr The Briefing Room
  8. 8. Guest: Noah Iliinski Noah Iliinski, Visualization Expert at IBM Twitter Tag: #briefr The Briefing Room
  9. 9. Noah Iliinsky Center for Advanced Visualization, IBM @noahi Extensible Visualization & Four Pillars of Visualization © 2013 IBM Corporation
  10. 10. About the Speaker §  Noah Iliinsky §  Center for Advanced Visualization, IBM §  Noah Iliinsky is the author of Designing Data Visualizations and the technical editor of, and a contributor to, Beautiful Visualizations, both published by O’Reilly Media. §  He has spent the last several years researching effective approaches to creating diagrams and data visualization. §  He has a master’s in Technical Communication from the University of Washington, and a bachelor’s in Physics from Reed College © 2013 IBM Corporation
  11. 11. Why Visualization? © 2013 IBM Corporation
  12. 12. Why visualization? http://en.wikipedia.org/wiki/Anscombe%27s_quartet © 2013 IBM Corporation
  13. 13. Visualization makes data accessible. http://en.wikipedia.org/wiki/Anscombe%27s_quartet © 2013 IBM Corporation
  14. 14. Visualization allows access to huge amounts of data. http://www.youtube.com/watch?v=hVimVzgtD6w © 2013 IBM Corporation
  15. 15. Why extensible visualization? © 2013 IBM Corporation
  16. 16. Visualization Extensibility - Concept The old way… Fixed Charting Library Analytics & Visualization Engine The new way… Extensible Charting Library Visualization Description Analytics & RAVE Visualization Engine © 2013 IBM Corporation
  17. 17. Integrate extensible visualizations into Cognos reports l  l  l  Unleashes business users from a static library of charts Quick and simple download of visualizations from new AnalyticsZone.com into reports for -  Cognos Business Intelligence V10.2.1 -  Cognos Express Active reports with animated charts and additional chart interactivity also available on Mobile iPad, enabling the rich discovery of insights from anywhere © 2013 IBM Corporation
  18. 18. New visualizations are a simple download away NEW! Visualization Marketplace Browse and download from over 30 visualizations from the extensible visualization community. l  Scatter l  Gantt l  Area l  Radar l  Boxplot l  Dial l  Treemap/Heatmap l  Plus a continually growing set of visualizations analyticszone.com/visualization 18 © 2013 IBM Corporation
  19. 19. The Upside of Flexibility © 2013 IBM Corporation
  20. 20. When are visualizations successful? 20 © 2013 IBM Corporation
  21. 21. A Successful Visualization 1.  purpose – why this visualization 2.  content – what to visualize 3.  structure – how to visualize it 4.  formatting – everything else © 2013 IBM Corporation
  22. 22. Purpose > Content > Structure > Formatting • Why am I creating this visualization? • Who is it for? • What do they need to understand? • What actions do you need to enable? • How will it be consumed? http://www.apple.com © 2013 IBM Corporation
  23. 23. Purpose > Content > Structure > Formatting Purpose dictates the deliverable. Different destinations require different maps. http://maps.google.com © 2013 IBM Corporation
  24. 24. Purpose > Content > Structure > Formatting http://many-eyes.com/manyeyes/page/Visualization_Options.html © 2013 IBM Corporation
  25. 25. Purpose > Content > Structure > Formatting • What data matters? • What relationships matter? • Informed by purpose! • What’s excluded is as important as what’s included. © 2013 IBM Corporation
  26. 26. Purpose > Content > Structure > Formatting http://demographics.coopercenter.org/DotMap/index.html © 2013 IBM Corporation
  27. 27. Purpose > Content > Structure > Formatting http://demographics.coopercenter.org/DotMap/index.html © 2013 IBM Corporation
  28. 28. Purpose > Content > Structure > Formatting http://www.businessinsider.com/iphone-bigger-than-microsoft-2012-2 © 2013 IBM Corporation
  29. 29. Purpose > Content > Structure > Formatting • How do we best reveal the most important data and relationships? • Choose meaningful layout and axes! • Use both axes! (Both, not three…) • Informed by purpose and content! © 2013 IBM Corporation
  30. 30. Purpose > Content > Structure > Formatting Structure fail. http://ilovecharts.tumblr.com/post/33308788744/from-the-boston-metro-oct-10th-hannabeth-well © 2013 IBM Corporation
  31. 31. Purpose > Content > Structure > Formatting Structure fixed. http://ilovecharts.tumblr.com/post/33308788744/from-the-boston-metro-oct-10th-hannabeth-well © 2013 IBM Corporation
  32. 32. Purpose > Content > Structure > Formatting http://many-eyes.com/manyeyes/page/Visualization_Options.html © 2013 IBM Corporation
  33. 33. Purpose > Content > Structure > Formatting • How should it look and feel? • How will it be consumed? • Makes data and relationships accessible. • Makes importance visible. • Informed by purpose, content, and structure! © 2013 IBM Corporation
  34. 34. Purpose > Content > Structure > Formatting http://commons.wikimedia.org/wiki/File:Pound_layer_cake.jpg Formatting Structure Content Purpose © 2013 IBM Corporation
  35. 35. Purpose > Content > Structure > Formatting http://ComplexDiagrams.com/properties © 2013 IBM Corporation
  36. 36. Creating effective visualizations Choosing the right visual properties Learn how to properly choose the visual property (position, shape, size, color and others) to encode the different types of data that will be presented in a visualization. Download your copy http://bit.ly/successfulvis © 2013 IBM Corporation
  37. 37. Checklist • Is the purpose well-defined? • Does the content support the purpose? • Does the structure reveal the content? • Does the formatting facilitate consumption? • Iterate, iterate, iterate… © 2013 IBM Corporation
  38. 38. Engage IBM Visualization Luminaries IBM Many Eyes: Learn and Create •  Learn visualization best practices, insights and futures from IBM visualization luminaries •  Create a visualization in three steps •  ibm.com/manyeyes Follow IBM visualization luminaries •  @manyeyes •  @noahi © 2013 IBM Corporation
  39. 39. © 2013 IBM Corporation
  40. 40. Perceptions & Questions Analyst: Robin Bloor Twitter Tag: #briefr The Briefing Room
  41. 41. Minard’s Visualization Dimensions: Advance/retreat (color), geographical location, number of men, temperature, distance & time
  42. 42. Tables and Dimensions The problems with“unvisualized” data: u  Every u  Time column in a table is a dimension is a critical dimension u  Some dimensions have high variability (say 00.00 to 1,000,000.00), others low variability (male/ female), others are descriptors or UIDs u  A table is possibly the worst way to represent data helpfully – although you can do things with a table (counts, averages, etc.) u  It’s a very good way to store data
  43. 43. Information Service There are many reasons why data may be provided to people: u  To inform or alert them u  To motivate them u  To entertain them u  To assist them (assist decisions) u  To empower them (or evaluate them?) u  To educate them (or help them self-educate) THE CONTEXT DETERMINES THE INFORMATION SERVICE AND ITS CHARACTER
  44. 44. Consumers & Explorers THE CONSUMER SPECIFIC USER TYPES: Needs to be informed and/or enabled in an easily digested manner THE EXPLORER Needs to be provided with: •  an exploratory capability •  a versatile set of tools •  a versatile set of visualizations •  training/education
  45. 45. Two Distinct Modes There are two distinct modes of information usage: u  REAL-TIME/BUSINESS-TIME: Information is a contributor to another activity u  CONTEMPLATIVE •  •  •  ANALYSIS: Information is a material to work with and analyze Visualization contributes to this analysis Just as there are statistical algorithms, there are visual algorithms NOTE THAT ANIMATION ADDS A DIMENSION. WE CAN SEE THINGS VIA ANIMATION THAT WOULD OTHERWISE BE INVISIBLE.
  46. 46. The Burning Question WHICH data visualizations are the most effective for WHAT?
  47. 47. u  What does IBM know about the effectiveness of any specific visualization and how do we know it? How is it measured? u  Is there a relationship between visualization and data volumes? If so, what is it? u  Are some people poor at deriving meaning from visualization – and yet skilled in other ways? u  What is the learning dimension and how is it characterized?
  48. 48. u  What does IBM know about animation and cognition, if anything? u  You suggest that there are best practices. How do we know – what research has been done? Are there cultural variances? u  Are there visualizations that are yet to be discovered?
  49. 49. Twitter Tag: #briefr The Briefing Room
  50. 50. Upcoming Topics November: DATA DISCOVERY & VISUALIZATION December: INNOVATORS 2014 Editorial Calendar coming soon! www.insideanalysis.com Twitter Tag: #briefr The Briefing Room
  51. 51. Thank You for Your Attention Image credits: bloomua / 123RF Stock Photo and ra2studio / 123RF Stock Photo Twitter Tag: #briefr The Briefing Room
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