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Dashboards

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Chris Sietsema presentation …

Chris Sietsema presentation
March 2010

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Transcript

  • 1. Dashboarding Chris Sietsema March 1, 2010
  • 2. What We Will Discuss • Visual Design • Technology • Maintaining & Delivering Value
  • 3. Why Use Dashboards? • Organize Important Information …for speedy interpretation • Make Decisions Easier • Maintain / Increase Client Confidence
  • 4. A Common Issue • Are you satisfied with your current approach to measurement? ISITE Design 2010 Web Strategy Report Survey of 268 Organizations
  • 5. Not More Data. Rather, The Right Data.
  • 6. Three Elements 1. Visual Display
  • 7. Three Elements 2. Single Page / Screen
  • 8. Three Elements 3. Most Important Info
  • 9. Dashboards Can Also Be… • Bi-Directional • Alert Generating • Always On & Online
  • 10. Common Problems
  • 11. Too Much
  • 12. Poor DisplayPoor Display
  • 13. Poor or Confusing Math
  • 14. The Human Brain
  • 15. Short Term Memory • One Screen, No Scrolling 7 ± 2
  • 16. Visual Encoding FINISHED FILES ARE THE RESULT OF YEARS OF SCIENTIFIC STUDY COMBINED WITH THE EXPERIENCE OF YEARS
  • 17. Visual Encoding HOW MANY F’S
  • 18. Visual Encoding FINISHED FILES ARE THE RESULT OF YEARS OF SCIENTIFIC STUDY COMBINED WITH THE EXPERIENCE OF YEARS
  • 19. Visual Encoding
  • 20. Careful Balance Pretty INFORMATIV E
  • 21. The Dashboard is a Utility, Not a Piece of Art.
  • 22. Placement & Orientation 1 .1 . 2 ^2 ^ 22 33 11
  • 23. Creating Your Dashboard
  • 24. What’s the Goal? • Corporate – What is the business objective? – “We Need to Accomplish X” • Personal – How is your primary contact measured? – “If we do Y, I get a bonus!”
  • 25. Beware of HiPPOsBeware of HiPPOs “Highest Paid Person’s Opinion” Avinash Kaushik – Occam’s Razor
  • 26. Select Metrics Carefully Transactions Traffic Bounce Rate Clickthrough Rate Sentiment Revenue per Recipient AOV Sales Revenue Cost Per Lead Market Share Top 10 Products Most Productive Keywords
  • 27. Focus on The Finish Line
  • 28. Assign the Appropriate Display
  • 29. Bar Graphs • Multiple measure comparison • Allows for clear visual comparison of data • Nominal, Ordinal & Interval comparisons
  • 30. Bar Graphs • Stacked bars allow for contrast between parts of a whole • Requires less real estate than pie charts • Example above is an ordinal comparison
  • 31. Line Graphs • Show historical data • Greater detail than bar graph for timelines • Displays movement of data
  • 32. Bullet Graphs • Actual vs. Target Measurements • Key measures can be compared • Saves space while conveying the point • Many prefer to gauges • http://bit.ly/bulletgraph
  • 33. Scatter Plots • Defines correlations between data sets • Helps answer the question, “is there a relationship between these values?”
  • 34. Choose Your ToolChoose Your Tool
  • 35. Tools • Google Analytics Custom Reports
  • 36. Tools • Off the Shelf Tools
  • 37. Tools • Off the Shelf Tools
  • 38. Tools You don’t have to be a
  • 39. Tools • Google Charts (requires developer)
  • 40. Final Steps 1. Create 2. Maintain 3. Get Feedback 4. Continuously Improve
  • 41. Questions? • Chris Sietsema • @sietsema • linkedin.com/in/sietsema • 480.389.5435
  • 42. Slide-ography • 6 | Owl - EraPhernalia Vintage on flickr Creative Commons • 5 | Television – dailyinvention on flickr Creative Commons • 8 | Important Bench – Valerie Everett on flickr Creative Commons • 10 | Sample Dashboard from Information Dashboard Design by Stephen Few • 11 | Pm5d mixing board from Yamaha Audio • 12 | Crayon Drawing – mpclemens on flickr Creative Commons • 13 | Sequent calculus for classical linear logic on Wikimedia Commons • 14 | Brain – perpetualplum on flickr Creative Commons • 20 | Scale of Justice on Wikimedia Commons • 23 | VW Dashboard – jepoirrier on flickr Creative Commons • 25 | Hippo – Giles Douglas on flickr Creative Commons • 27 | Checkered Flag – tharrin on flickr Creative Commons • 34 | Tools – denise carbonell on flickr Creative Commons • 36 | Olympic Dashboard – iDashboards • 37 | Product Tour Dashboards – Tableau Software • 40 | Sample Dashboard from GilliganOnData.com

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