1. BigQuery in Social Gaming
Yan Cui, Senior Developer
Davinder Pank, Social BI Manager

2. Who is Gamesys?
• Founded in 2001
• #1 in the UK
• Handle $5 Billion in turnover annually
• First company to launch real money gaming on Facebook
• Employ 1,000 globally

6. Travel, Collect, Craft!

7. Trap Monsters

9. Events driven Analysis
Enables deeper ad hoc analysis
Analysis goes only as far as the data
Finer the grain, bigger the volume

10. Be Ready for Success
Jackpotjoy Slots Bingo Lane Here Be Monsters
DAU 600,000+ 150,000+ 40,000+
Events (monthly) 5 billion+ 500 million+ 700 million+
1 TB+ 200 GB+ 500 GB+

11. • Ensure the health of our defined KPIs across our products –
Jackpotjoy Slots, Bingo Lane and Here Be Monsters
• Develop player insights to better improve the depth with
which users engage with our games
Social Gaming Business Intelligence,
Gamesys
BigQuery

12. Why BigQuery?
Scales
Managed
Fully managed architecture,
allows instant project
startup, and rapid time to
insight
Easy to learn, minimal
transition period, especially
for those moving from
traditional relational
databases
SQL
Grows with your project,
scales horizontally from 100
thousands to 100 Bn's of
rows with no loss of
performance on interactive
queries

13. Monitoring KPI Health
Reporting
Apps Script Spreadsheets
Cloud
Storage
Big
Query
ETL

14. KPI Dashboards in Google Spreadsheets

15. Custom Dashboards in Google Spreadsheets

16. Developing Player Insights
Big Joins
No need for temporary
tables, let’s us get to the
results we need in as few
steps as possible
How BigQuery features and functions allow us to better
explore our data

17. Developing Player Insights
• Our analysis hinges on being able to compare behaviour amongst players
with similar in-game maturity to one another
• Where we gain some of our most invaluable insights are where changes in
player behaviour lie outside the norm of what we would expect
How BigQuery features and functions allow us to better
explore our data

18. Developing Player Insights
Window Functions
Rank and partition allow us
to compare fairly player
engagement and
monetisation metrics across
players with the same in-
game maturity. Reduces
dependence on external
tools.
Lead and lag allow us to
easily identify segments
exhibiting interesting
changes in behaviour
How BigQuery features and functions allow us to better
explore our data

19. Reporting
Apps Script Spreadsheets
Cobra
App
Engine
Cloud
Storage
Big
Query
ETL
Mailman
App
Engine
email
mobile push
notifications
4
facebook
notifications
Beyond BigQuery

20. In the near future..
• Move from nightly ETL to real-time
– BigQuery streaming insert
• Predication API

21. Thank You!

22. JackpotJoy Slots
http://apps.facebook.com/jackpotjoyslots
Bingo Lane
http://apps.facebook.com/bingolane
Here Be Monsters
http://apps.facebook.com/herebemonsters
Building a MMORPG
http://bit.ly/1hjqoL8
http://slidesha.re/18MD4XY
Google I/O 2013 – Here Be BigQuery
http://bit.ly/1fHjbce