From my Tableau User Group tour stop in Cincinnati - How we're using Tableau at Facebook http://vizwiz.blogspot.com/2014/08/tug-tour.html

1. Building a Data Viz &
Tableau Culture at Facebook
Andy Kriebel
Data Viz Guru - Facebook
Cincinnati Business Intelligence & Analytics Meetup
August 19, 2014

10. A little bit about you…

11. How long have you been
using Tableau?

12. How many meetups
have you attended?

13. What do you want to know?

14. My first Tableau project

16. It started with a simple question

17. How are teams planning
budgets vs. goals?

18. And we’d like to see a dashboard

23. 1 hour from that Google search…

24. 30 minutes after that…

25. The next day, we identified problems!

26. Teams were now accountable!

30. There are now 93 TUGs!

33. Who has been to Facebook?

34. Let’s go on a tour...

54. 1.3 billion

55. 4.5 billion

56. 325 million per day

57. 140 billion
friend connections

58. What is big data to you?

59. Facebook’s Big Data
• 300 petabytes of data in Hive
• 600 terabytes incoming daily

60. Size is relative

61. What works for Facebook
might not work for you

62. “Our problem is not a lack of
data, it’s our inability to make
sense of what we have.”
Stephen Few: Tableau Customer Conference 2008

63. Our legacy reporting
stack had major gaps

64. MicroStrategy
• Complex and hard to master ad-hoc
environment
• Dependency on developers
• Needed a full-time on-site trainer

65. In-house tools
• Lack of sophisticated data visualization or
top-notch dashboarding
• Needed to be supported by in-house
engineers
• Upgrades have been painful

66. Why did we need another tool?

67. What were we looking for?
1. Self-service dashboards and analysis
2. Remove dependency on the BI team
3. Needed an intuitive tool for data
discovery
4. Security
5. Increase speed of development

69. What’s worked and what hasn’t?

70. We started with a multi-tenancy model…

71. …but that didn’t meet our needs
Open to everyone
All Access
Workbooks
View View View View
Monetization
Workbooks
View View View View
Sustainability
Workbooks
View View View View
HR & Finance
All Access
Workbooks
View View View View
Outside Access
All Access
Workbooks
View View View View
Growth & Analytics
All Access
Workbooks
View View View View

72. Tableau is available to
EVERYONE

73. And the growth has been phenomenal

74. Facebook Groups

75. Set the foundation with
data viz best practices

76. Regular, hands-on
Tableau training sessions

77. We invite industry experts

78. Hackathons

79. We make Tableau work for us

80. We built an email subscription service

81. We created our own data portal

82. BI is no longer a roadblock

83. We tap into the postgres database

84. Users know the status of their extracts

85. We know who is viewing what

86. We trigger extracts only after data lands

87. Datacamp

91. VizPlate
Showcase Tips & Tricks
News & Announcements

92. How can we support so
many people?

93. The Architects

94. The Data Viz Team

95. We have some challenges

96. Dashboards vs. Analytics

97. Performance & scalability

98. Vertica implementation

99. Growing our team

100. What skills do people need?
1.Data Modeling
2.SQL
3.Coding
4.Data Viz / Tableau

101. If you know anyone,
let me know!

102. We’re building some cool hacks!

103. Think HAXML

104. Dynamically update shapes

105. We’ve invented new chart types

106. Imagine Tableau Servers that do
NO EXTRACTS

107. Imagine extracts that run
40x FASTER

108. Offload extract creation on distributed
systems without licensing costs

109. And it’ll all be open sourced

110. Come to our talk at #DATA14
Wednesday 10:45 AM

111. Sources of inspiration

115. Read lots of blogs!
http://bit.ly/DataVizBlogs

116. Follow me!
vizwiz.blogspot.com
facebook.com/vizwiz
@VizWizBI

117. Thank you!