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Big Data & Design: Data Visualization Made Simple | Fresh Tilled Soil

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In this presentation we address best practice data visualization techniques, exploring common problems in designing for big data presentation and proposing some newfangled and enlightened solutions. We'll review how to effectively connect real-world customer needs to big data’s promise of a more efficient and response web.

Last presented at WebbyTalksBoston: http://www.freshtilledsoil.com/event/fresh-tilled-soil-webbyawards-present-webby-talks/

Published in: Design

Big Data & Design: Data Visualization Made Simple | Fresh Tilled Soil

  1. 1. bigdatavisualized By Richard Banfield
  2. 2. 01 thepromiseofbigdata freshtilledsoil.com @freshtilledsoil
  3. 3. thepromiseofbigdata “...spot business trends, predict weather, anticipate disease outbreaks, foresee fraud,identify waste, combat crime, and determine real-time roadway traffic conditions” freshtilledsoil.com @freshtilledsoil
  4. 4. thepromiseofbigdata “...spot business trends, predict weather, anticipate disease outbreaks, foresee fraud,identify waste, combat crime, and determine real-time roadway traffic conditions” freshtilledsoil.com @freshtilledsoil
  5. 5. thepromiseofbigdata freshtilledsoil.com @freshtilledsoil
  6. 6. thepromiseofbigdata freshtilledsoil.com @freshtilledsoil
  7. 7. thepromiseofbigdata freshtilledsoil.com @freshtilledsoil
  8. 8. yourbabypictures “On November 8, 2012 Facebookannounced their Hadoop warehouse grows by roughly half a PetaByte per day.” wikipedia freshtilledsoil.com @freshtilledsoil
  9. 9. 02 january28th1986 freshtilledsoil.com @freshtilledsoil
  10. 10. freshtilledsoil.com @freshtilledsoil
  11. 11. freshtilledsoil.com @freshtilledsoil
  12. 12. Edward Tufte atragedyofdata 12 80-ring damage index, each launch 6 4 25 30 35 40 45 50 55 60 65 70 75 80 85 90 temp (F) of field joints at time of launch freshtilledsoil.com @freshtilledsoil
  13. 13. Edward Tufte atragedyofdata 12 80-ring damage index, each launch 6 26F-29F was forecasted temp for January 28th 4 Challenger launch 25 30 35 40 45 50 55 60 65 70 75 80 85 90 temp (F) of field joints at time of launch freshtilledsoil.com @freshtilledsoil
  14. 14. 03 insightsnotjustfacts freshtilledsoil.com @freshtilledsoil
  15. 15. afactisn’tinsight facts data insightsWhat we know What we want to know What to do about it freshtilledsoil.com @freshtilledsoil
  16. 16. afactisn’tinsight facts data insights outcomesWhat we know What we want to know What to do about it What might happen freshtilledsoil.com @freshtilledsoil
  17. 17. howdowegetoutcomes? freshtilledsoil.com @freshtilledsoil
  18. 18. Moresignallesscases“...the common perception of "big data" is being able to track lots of transactions — but adding signals is most likely to transform a business” doug merrill freshtilledsoil.com @freshtilledsoil
  19. 19. Moresignallesscases doug merrill freshtilledsoil.com @freshtilledsoil
  20. 20. creditscoresandsignals fico fannie mae free 2.1BN data & signalscreated requires fico scores accounts combined 1970’s 1980’s 1990’s 2000’s 2010’s freshtilledsoil.com @freshtilledsoil
  21. 21. Moresignallesscases excess income availablefico + = $ time applicant spent on the application applicants ss# associated with dead person geographic averages lower cost credit to a comparative behavior larger number of people doug merrill freshtilledsoil.com @freshtilledsoil
  22. 22. Moresignallesscasesdata + signal = Less $/person doug merrill freshtilledsoil.com @freshtilledsoil
  23. 23. Moresignallesscases freshtilledsoil.com @freshtilledsoil
  24. 24. Moresignallesscases relevance social signals freshtilledsoil.com @freshtilledsoil
  25. 25. 04 thedesignchallenge freshtilledsoil.com @freshtilledsoil
  26. 26. thedesignchallenge“If the client wanted another spreadsheet, then they wouldn’t need you” amy balliett freshtilledsoil.com @freshtilledsoil
  27. 27. outcomeisAstorytoggle between data views relevance device data context / social manually entered data social api’s freshtilledsoil.com @freshtilledsoil
  28. 28. outcomeisAworkflow guiding workflowinstant gratification timeline freshtilledsoil.com @freshtilledsoil
  29. 29. outcomeisAworkflow guiding workflow multiple filtersuser driven filteringsignaling data freshtilledsoil.com @freshtilledsoil
  30. 30. 05 thefutureisarainbow freshtilledsoil.com @freshtilledsoil
  31. 31. Charles Minardnapoleon’sdeathmarch freshtilledsoil.com @freshtilledsoil
  32. 32. bbc’srainbow freshtilledsoil.com @freshtilledsoil
  33. 33. typesofdataviz freshtilledsoil.com @freshtilledsoil
  34. 34. Size&color freshtilledsoil.com @freshtilledsoil
  35. 35. context&story freshtilledsoil.com @freshtilledsoil
  36. 36. keys&color freshtilledsoil.com @freshtilledsoil
  37. 37. shancarter freshtilledsoil.com @freshtilledsoil
  38. 38. magnolia freshtilledsoil.com @freshtilledsoil
  39. 39. toolsfordataviz Real-time or PredictiveProfessional Consumer basic visualization freshtilledsoil.com @freshtilledsoil
  40. 40. goodluck!
  41. 41. richard@freshtilledsoil.coM
  42. 42. http://dailyinfographic.com/http://designmodo.com/magnolia/ http://shancarter.com/

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