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Short presentation on how Ancestry came to use Tableau for visualization of our data.
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Data Driven: The Ancestry.com Journey to Self-Service Analytics
Bill Yetman – VP EngineeringAdam Davis – Data Visualization Team Lead
Salt Lake City | 10 June, 2014 | 11:00 - 1:00PM MDT
Agenda
I. Our Story
II. Challenges & Solutions
III. Successes
IV. Future Opportunities
Our StoryTableau’s Role in the Ancestry Data Strategy
3
Traditional BI Tool Challenges
● Dashboarding Bottleneck
● Team of 3
● Analysts wouldn’t use it
● Steep learning curve
4
The Search for a Self Service Tool● Executive Challenge to become a Data Driven Org
● Needed to move quicker with discovering and sharing insights
5
Self Service Options Explored
● Microstrategy Visual Insight
- Training
- Workshops
● Microsoft BI POC
- Power Pivot
- Power View
● Tableau Evaluation
- 2 Week
- 30 Desktop users
6
Tableau Evaluation Findings
● 2 Weeks
● 120 Views created
● Excel users were quickest adopters
● Prizes Awarded
● Most Colorful
7
Challenges & SolutionsOvercoming the challenges of a self service model
8
Adoption Explodes
● In 9 Months
● 100 Desktop Licenses
● CPU Server License (Access for Everyone)
● 820 Views
● 250 Workbooks
● Went from struggling with BI tool user adoption to everyone wants to use it.
9
How do you avoid the “Wild West” of reporting?
10
Approved Reports Portal
11
SuccessesWins with Tableau
12
PR Mother’s Day Campaign
● Featured in news Articles
● Wall Street Journal
● Washington Post
● Time.com
● NY Daily News
● Featured as Viz of the Day on Tableau Public
● Bullet one or paragraph heading
● Paragraph 2 contains first bullet point
- Paragraph 3 contains secondary bullet
13
PR Mother’s Day Campaign (cont.)
14
A/B Testing Team
● Self Service at work
● 40 requests to analytics for A/B test analysis in 2014
● Received 3 to date
● Built a dashboard in 3 days w/ Tableau Desktop
● Bullet one or paragraph heading
● Paragraph 2 contains first bullet point
- Paragraph 3 contains secondary bullet
15
Future OpportunitiesWhat’s Next
16
Vision for the Future
● Hadoop & Hive
● Data exploration
● Data Dictionary
● Additional departments in organization
17
Questions?
Thank youBill Yetman, [email protected]
Adam Davis, [email protected]