Slides from a joint Spil Games/Tableau presentation + demo on using Tableau software to create analytical visualizations on big data in real time. Demo included building a full dashboard on top of >250M rows of data in under eight minutes.

1. Big Data Analytics at the Speed of
Business
Paul Lilford
Global Director of Technology
Partnerships, Tableau
HP Vertica Big Data Conference – Boston August 5-7 2013
Rob Winters
Director, Reporting and
Analytics, Spil Games

2. Agenda
• About Spil Games
• AboutTableau
• The challenge
• The solution
• The value
• Demo
• Questions

3. About Spil
• Based in Hilversum, the Netherlands (Hillywood!)
• 200 MillionVisitors, 2 billion page views, >1 Billion game plays per month
• Local portals in 19 languages with traffic from 219 countries a month
• Developer, Publisher, and Platform
• Target audience: Girls, Boys,Adult females
Titles
Portals

4. About Tableau
• Help people see and understand data
• One of the fastest-growing technology companies in the world
• Started at Stanford with a computer scientist, an Academy Award-winning
professor and a business leader with passion for data
• Headquartered in Seattle, WA
• 12,000+ Customer Accounts, 9 Global Offices
Products

5. Spil’s Challenge
• Slowing growth in core markets plus increased competition impacted
EBITDA growth
• Focus on personalization and user-centricity (changing market
expectations)
• Change in revenue streams and products (Advertising to End User
Monetization)
Our Team’s Challenge
• Roll out a data warehouse, reporting,business analytics, and predictive
modeling as quickly as possible
• Maximize user self-service to reduce support time
• Support the entire company with only three reporting/BI developers plus
one DBA (to start)
The solution: “Be Data Driven!”
“Now, how do we do that?”

6. The Solution
Self-serve + Analytics
ReportingData Platform
Data Warehouse
• >4TB
• Largest tables load >50M records/day
MapReduce
• >800M events/day
• Growing by >15%/month
Tableau Server
• Daily, Weekly, and Monthly Push Reports
• >130 workbooks and >300 views
• 100+ sessions per day from 150 active users
Tableau Desktop plus R
• 15 desktop users of Tableau
• Driving company forecast process and planning
• Analysis forms backbone of new strategies
Predictive Analytics
• >20 models drive >500M
calculations per day
• Campaigns targeted at >20M
users built based on predictions
• More than 2k forecasts generated
per month

7. WhyTableau
• Speed of Development: Development time is trivial
• We had 35 dashboards build within a month
• 1.5 FTE currently support >130 reports including 15 change request per week
• Flexibility + Performance: Data sources are not a limit
• We easily mix data source (ex. Excel andVertica) in reports
• The average table size to support a report is >70M rows and executes fast enough for
the business
• User Self-Service: Functionality allows our users to be highly self-sufficient
• Easily create custom versions of reports and subscribe to that version
• Highly flexible reports allow users to explore data
… But it’s not perfect
• The best features (like web editing) are new and not fully developed
• Built “analytics-first” so some basic reporting pieces are missing
• No Linux version (yet!)

8. Demo

9. Q&A
Tableau Customer Conference September 8-12, 2013 |Washington, D.C.