1. The Data Game Visualizing IP & Gambling with Quova Google TechTalk, Zurich August 25, 2010

2. Introduction A bit about the two guys on stage What does Quova have to do with it? Objective: Big IP data and gambling - insights

3. Methodology 30 billion queries/month Geographic Information Network Characteristics

5. A Visualization Project

6. Two Kinds of Graphs

7. A short aside on Horizon Graphs Jeffrey Heer, Nicolas Kong, and ManeeshAgrawala, “Sizing the Horizon: The Effects of Chart Size and Layering on the Graphical Perception of Time Series Visualizations” Stephen Few (perceptualedge.com) Panopticon Let’s look: Horizon Graph

8. Horizon Graph Explained Copyright © 2008 Stephen Few, Perceptual Edge

9. 50 stocks between October 2005 and September 2006 Copyright © 2008 Stephen Few, Perceptual Edge

10. Horizon Graph Explained Copyright © 2008 Stephen Few, Perceptual Edge

11. 50 stocks between October 2005 and September 2006 Copyright © 2008 Stephen Few, Perceptual Edge

12. 50 stocks between October 2005 and September 2006 Copyright © 2008 Stephen Few, Perceptual Edge

15. Stream Graphs “Stacked Graphs – Geometry & Aesthetics”by Lee Byron & Martin Wattenberg http://www.leebyron.com/else/streamgraph/

16. The Online Gambling Industry Fri Sat Sun Mon Tue Wed Thu Fri

17. Europe Fri Sat Sun Mon Tue Wed Thu Fri

18. Everything but the UK Fri Sat Sun Mon Tue Wed Thu Fri

19. Asia Fri Sat Sun Mon Tue Wed Thu Fri

20. North America by Organization Fri Sat Sun Mon Tue Wed Thu Fri

21. All but Europe, Asia, and N. America Fri Sat Sun Mon Tue Wed Thu Fri

22. UK by City Fri Sat Sun Mon Tue Wed Thu Fri

23. UK without London Fri Sat Sun Mon Tue Wed Thu Fri

24. Germany by City Fri Sat Sun Mon Tue Wed Thu Fri

25. Denmark by City Fri Sat Sun Mon Tue Wed Thu Fri

26. Connection Types Fri Sat Sun Mon Tue Wed Thu Fri

27. Mobile Carriers Fri Sat Sun Mon Tue Wed Thu Fri

28. Dial-up Users by Country Fri Sat Sun Mon Tue Wed Thu Fri

29. Anonymizer by Country Fri Sat Sun Mon Tue Wed Thu Fri

30. Anonymizer by Carrier Fri Sat Sun Mon Tue Wed Thu Fri

31. Where this goes from here We’re just starting Make the data public The data becomes dynamic Find trends Predict and prevent fraud Optimize advertizing Predict traffic patterns and events Confirm or disprove assumptions perry@quova.comtobias@quova.com @ptancredi @tobiassp