@philsimon 1
Introducing The Visual Organization
Phil Simon
philsimon.com
Who am I?
@philsimon 2
• Award-winning author of six
books
• Speaker, consultant, and
technology expert
• Huge Breaking Ba...
@philsimon 3
Netflix Stats
• Roughly 40M customers
• Nearly $27B market cap
• Responsible for nearly one-third of all US
weeknight Inte...
Netflix Facts
• Single biggest AWS customer
– 2012 Christmas day outage
• In September of 2013, Netflix became the first
n...
@philsimon 6
The Netflix Data Credo - 1
• Data should be accessible, easy to discover,
and easy to process for everyone.
@philsimon 7
S...
77,000 Subgenres of Movies
• Dark Suspenseful Sci-Fi Horror Movies
• Gritty Suspenseful Revenge Westerns
• Romantic Indian...
The Netflix Data Credo - 2
• The longer you take to find the data, the less
valuable it becomes.
@philsimon 9
Example
@philsimon 10
Stats
50,000 Netflix subscribers watched
all 13 episodes of Breaking Bad
Season 4 on the day before
Season 5 premiered.
@p...
The Netflix Data Credo - 3
• Whether a dataset is large or small, being able
to visualize it makes it easier to explain.
@...
@philsimon 13
@philsimon 14
@philsimon 15
@philsimon 16
What does Netflix know about each of its
40M streaming customers?
• What they watch
• When they watch
• The device on whic...
• He with the most data doesn’t win.
• In an era of Big Data, success hinges on what
an organization does with that inform...
Story Behind the Book
@philsimon 19
How do we make sense of all of this data?
@philsimon 20
Today data and dataviz are
everywhere.
@philsimon 21
A Tale of Two IPOs
@philsimon 22
@philsimon 23
• The visual consumer
• The visual employee
• The visual government
• The visual citizen
• The visual journa...
The Visual Consumer
@philsimon 24
The Visual Athlete
@philsimon 25
The Visual Athlete
@philsimon 26
Visual/Data Journalists
@philsimon 27
Where are all of the dataviz case studies?
@philsimon 28
@philsimon 29
Source: Google, 08.31.2013
@philsimon 30
@philsimon 31
Characteristics of a Visual Organization
• Eschew “set it and forget it”
• Encourage data exploration and discovery
• Reco...
Dataviz Myths
• We must visualize all of the data
• Only visualize good data
• Visualization will always manifest the righ...
Lessons from the book
• UX: participation and
experimentation are
paramount
• Walk before you run
• Avoid the quarterly
vi...
Lessons from the book
• Transparency is becoming
increasingly important
• All data is not required to
begin
• Iterate
@phi...
@philsimon 36
Connect with me
www.philsimon.com
@philsimon
Book out now
@philsimon 37
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Introducing The Visual Organization

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An overview of my sixth book, The Visual Organization: Data Visualization, Big Data, and the Quest for Better Decisions

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Introducing The Visual Organization

  1. 1. @philsimon 1 Introducing The Visual Organization Phil Simon philsimon.com
  2. 2. Who am I? @philsimon 2 • Award-winning author of six books • Speaker, consultant, and technology expert • Huge Breaking Bad fan (more on that later)
  3. 3. @philsimon 3
  4. 4. Netflix Stats • Roughly 40M customers • Nearly $27B market cap • Responsible for nearly one-third of all US weeknight Internet traffic @philsimon 4 Data as of March 3, 2014
  5. 5. Netflix Facts • Single biggest AWS customer – 2012 Christmas day outage • In September of 2013, Netflix became the first non-TV network to win an Emmy for House of Cards @philsimon 5
  6. 6. @philsimon 6
  7. 7. The Netflix Data Credo - 1 • Data should be accessible, easy to discover, and easy to process for everyone. @philsimon 7 Source: Netflix - tinyurl.com/tvo-netflix
  8. 8. 77,000 Subgenres of Movies • Dark Suspenseful Sci-Fi Horror Movies • Gritty Suspenseful Revenge Westerns • Romantic Indian Crime Dramas • Evil Kid Horror Movies • Visually-striking Goofy Action & Adventure • Violent Suspenseful Action & Adventure from the 1980s @philsimon 8
  9. 9. The Netflix Data Credo - 2 • The longer you take to find the data, the less valuable it becomes. @philsimon 9
  10. 10. Example @philsimon 10
  11. 11. Stats 50,000 Netflix subscribers watched all 13 episodes of Breaking Bad Season 4 on the day before Season 5 premiered. @philsimon 11 Source: The Hollywood Reporter
  12. 12. The Netflix Data Credo - 3 • Whether a dataset is large or small, being able to visualize it makes it easier to explain. @philsimon 12
  13. 13. @philsimon 13
  14. 14. @philsimon 14
  15. 15. @philsimon 15
  16. 16. @philsimon 16
  17. 17. What does Netflix know about each of its 40M streaming customers? • What they watch • When they watch • The device on which they’re watching • When they pause and/or resume watching @philsimon 17
  18. 18. • He with the most data doesn’t win. • In an era of Big Data, success hinges on what an organization does with that information. @philsimon 18
  19. 19. Story Behind the Book @philsimon 19 How do we make sense of all of this data?
  20. 20. @philsimon 20 Today data and dataviz are everywhere.
  21. 21. @philsimon 21
  22. 22. A Tale of Two IPOs @philsimon 22
  23. 23. @philsimon 23 • The visual consumer • The visual employee • The visual government • The visual citizen • The visual journalist • The visual athlete It’s not just organizations… @philsimon 23
  24. 24. The Visual Consumer @philsimon 24
  25. 25. The Visual Athlete @philsimon 25
  26. 26. The Visual Athlete @philsimon 26
  27. 27. Visual/Data Journalists @philsimon 27
  28. 28. Where are all of the dataviz case studies? @philsimon 28
  29. 29. @philsimon 29 Source: Google, 08.31.2013
  30. 30. @philsimon 30
  31. 31. @philsimon 31
  32. 32. Characteristics of a Visual Organization • Eschew “set it and forget it” • Encourage data exploration and discovery • Recognize the limitations of reporting stalwarts • Buy and build new tools as necessary @philsimon 32
  33. 33. Dataviz Myths • We must visualize all of the data • Only visualize good data • Visualization will always manifest the right action or decision • Visualization leads to certainty @philsimon 33
  34. 34. Lessons from the book • UX: participation and experimentation are paramount • Walk before you run • Avoid the quarterly visualization mentality @philsimon 34
  35. 35. Lessons from the book • Transparency is becoming increasingly important • All data is not required to begin • Iterate @philsimon 35
  36. 36. @philsimon 36
  37. 37. Connect with me www.philsimon.com @philsimon Book out now @philsimon 37

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