design and data science

@deanmalmgren
@DsAtweet
2013 december
brighttalk
design and data science

@deanmalmgren
@DsAtweet
2013 december
brighttalk
design and data science

innovating with data
requires a unique approach

@deanmalmgren
@DsAtweet
2013 december
brighttalk
Through 2015,
85% of Fortune 500 organizations
will be unable to exploit big data
for competitive advantage.

@deanmalmgre...
no solutions available?

@deanmalmgren | bit.ly/design-data
successful all, companies are really different
no solutions available?

@deanmalmgren | bit.ly/design-data
no solutions available?

Innovation does not come from a product,

but from a process.

@deanmalmgren | bit.ly/design-data
design: the process of creating

@deanmalmgren | bit.ly/design-data
design: the process of creating

ideo’s
humancentered
design

@deanmalmgren | bit.ly/design-data
design: the process of creating

ideo’s
humancentered
design

eric ries’
lean startup
@deanmalmgren | bit.ly/design-data
design: the process of creating

ideo’s
humancentered
design

agile
programming

eric ries’
lean startup
@deanmalmgren | b...
design: the process of creating

@deanmalmgren | bit.ly/design-data
unique challenges of designing with data

@deanmalmgren | bit.ly/design-data
unique challenges of designing with data
stakeholder naiveté

@deanmalmgren | bit.ly/design-data
unique challenges of designing with data
red tape

@deanmalmgren | bit.ly/design-data
unique challenges of designing with data
terminology barriers

@deanmalmgren | bit.ly/design-data
unique challenges of designing with data
unknown need

@deanmalmgren | bit.ly/design-data
unique challenges of designing with data
stakeholder alignment

@deanmalmgren | bit.ly/design-data
unique challenges of designing with data
analysis distrust

@deanmalmgren | bit.ly/design-data
unique challenges of designing with data
stakeholder naiveté

unknown need

red tape

terminology barriers

stakeholder al...
lessons learned from designing with data
duct tape and popsicle sticks

@deanmalmgren | bit.ly/design-data
lessons learned from designing with data
duct tape and popsicle sticks

@deanmalmgren | bit.ly/design-data
lessons learned from designing with data
duct tape and popsicle sticks

@deanmalmgren | bit.ly/design-data
lessons learned from designing with data
duct tape and popsicle sticks
stakeholder naiveté

unknown need

terminology barr...
lessons learned from designing with data
rapid iteration

@deanmalmgren | bit.ly/design-data
lessons learned from designing with data
rapid iteration

@deanmalmgren | bit.ly/design-data
lessons learned from designing with data
rapid iteration

@deanmalmgren | bit.ly/design-data
lessons learned from designing with data
rapid iteration

@deanmalmgren | bit.ly/design-data
lessons learned from designing with data
rapid iteration

@deanmalmgren | bit.ly/design-data
lessons learned from designing with data
rapid iteration

@deanmalmgren | bit.ly/design-data
lessons learned from designing with data
rapid iteration

@deanmalmgren | bit.ly/design-data
lessons learned from designing with data
rapid iteration

@deanmalmgren | bit.ly/design-data
lessons learned from designing with data
rapid iteration

@deanmalmgren | bit.ly/design-data
lessons learned from designing with data
rapid iteration

@deanmalmgren | bit.ly/design-data
lessons learned from designing with data
rapid iteration

@deanmalmgren | bit.ly/design-data
lessons learned from designing with data
rapid iteration

@deanmalmgren | bit.ly/design-data
lessons learned from designing with data
rapid iteration

@deanmalmgren | bit.ly/design-data
lessons learned from designing with data
rapid iteration

@deanmalmgren | bit.ly/design-data
lessons learned from designing with data
rapid iteration
terminology barriers

stakeholder alignment

analysis distrust

@...
lessons learned from designing with data
simplicity for starters

@deanmalmgren | bit.ly/design-data
lessons learned from designing with data
simplicity for starters

@deanmalmgren | bit.ly/design-data
lessons learned from designing with data
simplicity for starters
stakeholder naiveté

unknown need

analysis distrust
@dea...
lessons learned from designing with data
explain it to your grandmother

@deanmalmgren | bit.ly/design-data
lessons learned from designing with data
explain it to your grandmother
stakeholder naiveté

terminology barriers

analysi...
lessons learned from designing with data
surrogate data is better than none

@deanmalmgren | bit.ly/design-data
lessons learned from designing with data
surrogate data is better than none

@deanmalmgren | bit.ly/design-data
lessons learned from designing with data
surrogate data is better than none
stakeholder naiveté

unknown need

red tape

a...
lessons learned from designing with data
transparency

@deanmalmgren | bit.ly/design-data
lessons learned from designing with data
transparency

@deanmalmgren | bit.ly/design-data
lessons learned from designing with data
transparency
red tape

analysis distrust
@deanmalmgren | bit.ly/design-data
innovating with data
requires a unique approach
http://bit.ly/design-data
!

@deanmalmgren
dean.malmgren@datascopeanalytic...
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20131212 BrightTALK: design and data science

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When you hear someone say, “that is a nice infographic” or “check out this sweet dashboard,” many people infer that they are “well-designed.” Creating accessible (or for the cynical, “pretty”) content is only part of what makes good design powerful. The human-centered design process is geared toward solving specific problems. This process has been formalized in many ways (e.g., IDEO’s Human Centered Design, Marc Hassenzahl’s User Experience Design, or Braden Kowitz’s Story-Centered Design), but the basic idea is that you have to explore the breadth of the possible before you can isolate truly innovative ideas. In this talk, I'll share some lessons we've learned from the human-centered design process and how those lessons can be used by other data science practitioners.

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20131212 BrightTALK: design and data science

  1. 1. design and data science @deanmalmgren @DsAtweet 2013 december brighttalk
  2. 2. design and data science @deanmalmgren @DsAtweet 2013 december brighttalk
  3. 3. design and data science innovating with data requires a unique approach @deanmalmgren @DsAtweet 2013 december brighttalk
  4. 4. Through 2015, 85% of Fortune 500 organizations will be unable to exploit big data for competitive advantage. @deanmalmgren | bit.ly/design-data
  5. 5. no solutions available? @deanmalmgren | bit.ly/design-data
  6. 6. successful all, companies are really different no solutions available? @deanmalmgren | bit.ly/design-data
  7. 7. no solutions available? Innovation does not come from a product,
 but from a process. @deanmalmgren | bit.ly/design-data
  8. 8. design: the process of creating @deanmalmgren | bit.ly/design-data
  9. 9. design: the process of creating ideo’s humancentered design @deanmalmgren | bit.ly/design-data
  10. 10. design: the process of creating ideo’s humancentered design eric ries’ lean startup @deanmalmgren | bit.ly/design-data
  11. 11. design: the process of creating ideo’s humancentered design agile programming eric ries’ lean startup @deanmalmgren | bit.ly/design-data
  12. 12. design: the process of creating @deanmalmgren | bit.ly/design-data
  13. 13. unique challenges of designing with data @deanmalmgren | bit.ly/design-data
  14. 14. unique challenges of designing with data stakeholder naiveté @deanmalmgren | bit.ly/design-data
  15. 15. unique challenges of designing with data red tape @deanmalmgren | bit.ly/design-data
  16. 16. unique challenges of designing with data terminology barriers @deanmalmgren | bit.ly/design-data
  17. 17. unique challenges of designing with data unknown need @deanmalmgren | bit.ly/design-data
  18. 18. unique challenges of designing with data stakeholder alignment @deanmalmgren | bit.ly/design-data
  19. 19. unique challenges of designing with data analysis distrust @deanmalmgren | bit.ly/design-data
  20. 20. unique challenges of designing with data stakeholder naiveté unknown need red tape terminology barriers stakeholder alignment analysis distrust @deanmalmgren | bit.ly/design-data
  21. 21. lessons learned from designing with data duct tape and popsicle sticks @deanmalmgren | bit.ly/design-data
  22. 22. lessons learned from designing with data duct tape and popsicle sticks @deanmalmgren | bit.ly/design-data
  23. 23. lessons learned from designing with data duct tape and popsicle sticks @deanmalmgren | bit.ly/design-data
  24. 24. lessons learned from designing with data duct tape and popsicle sticks stakeholder naiveté unknown need terminology barriers stakeholder alignment @deanmalmgren | bit.ly/design-data
  25. 25. lessons learned from designing with data rapid iteration @deanmalmgren | bit.ly/design-data
  26. 26. lessons learned from designing with data rapid iteration @deanmalmgren | bit.ly/design-data
  27. 27. lessons learned from designing with data rapid iteration @deanmalmgren | bit.ly/design-data
  28. 28. lessons learned from designing with data rapid iteration @deanmalmgren | bit.ly/design-data
  29. 29. lessons learned from designing with data rapid iteration @deanmalmgren | bit.ly/design-data
  30. 30. lessons learned from designing with data rapid iteration @deanmalmgren | bit.ly/design-data
  31. 31. lessons learned from designing with data rapid iteration @deanmalmgren | bit.ly/design-data
  32. 32. lessons learned from designing with data rapid iteration @deanmalmgren | bit.ly/design-data
  33. 33. lessons learned from designing with data rapid iteration @deanmalmgren | bit.ly/design-data
  34. 34. lessons learned from designing with data rapid iteration @deanmalmgren | bit.ly/design-data
  35. 35. lessons learned from designing with data rapid iteration @deanmalmgren | bit.ly/design-data
  36. 36. lessons learned from designing with data rapid iteration @deanmalmgren | bit.ly/design-data
  37. 37. lessons learned from designing with data rapid iteration @deanmalmgren | bit.ly/design-data
  38. 38. lessons learned from designing with data rapid iteration @deanmalmgren | bit.ly/design-data
  39. 39. lessons learned from designing with data rapid iteration terminology barriers stakeholder alignment analysis distrust @deanmalmgren | bit.ly/design-data
  40. 40. lessons learned from designing with data simplicity for starters @deanmalmgren | bit.ly/design-data
  41. 41. lessons learned from designing with data simplicity for starters @deanmalmgren | bit.ly/design-data
  42. 42. lessons learned from designing with data simplicity for starters stakeholder naiveté unknown need analysis distrust @deanmalmgren | bit.ly/design-data
  43. 43. lessons learned from designing with data explain it to your grandmother @deanmalmgren | bit.ly/design-data
  44. 44. lessons learned from designing with data explain it to your grandmother stakeholder naiveté terminology barriers analysis distrust @deanmalmgren | bit.ly/design-data
  45. 45. lessons learned from designing with data surrogate data is better than none @deanmalmgren | bit.ly/design-data
  46. 46. lessons learned from designing with data surrogate data is better than none @deanmalmgren | bit.ly/design-data
  47. 47. lessons learned from designing with data surrogate data is better than none stakeholder naiveté unknown need red tape analysis distrust @deanmalmgren | bit.ly/design-data
  48. 48. lessons learned from designing with data transparency @deanmalmgren | bit.ly/design-data
  49. 49. lessons learned from designing with data transparency @deanmalmgren | bit.ly/design-data
  50. 50. lessons learned from designing with data transparency red tape analysis distrust @deanmalmgren | bit.ly/design-data
  51. 51. innovating with data requires a unique approach http://bit.ly/design-data ! @deanmalmgren dean.malmgren@datascopeanalytics.com
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