1. Using science and data to help
players make smarter decisions
about their health and wealth
The Big Data Show, London, 25th April 2013
@SimoDragicevic , @Bet_Buddy

2. The Big Data Show, London, 25th April 2013
iGaming Industry
$ (%) Global GGY
$47.4 bn (8.7%)
Relevant market trends
• Regulation
• Player retention
$21.7 bn (6%)
• Convergence of land and digital
• Consumer protection
2007*
2015*
@SimoDragicevic , @Bet_Buddy
*Global Betting and Gaming Consultants (2012)

3. The Big Data Show, London, 25th April 2013
The Big Data Maze?
Vertical Data Apps and
Services
Domain Apps e.g. Fraud,
Marketing, Social
Mobile Data Visualization
Data Visualization
Web and Advertising
Business Intelligence
Statistical Platforms
Machine Data Analytics
Data As a Service
Integration
DBMS/In-DBMS Analytics
Infrastructure as a Service
Standards
Big Data
Processing
Reporting
Predictive
Analytics
Prescriptive Analytics
@SimoDragicevic , @Bet_Buddy

4. The Big Data Show, London, 25th April 2013
Data Universe or ‘Wish List’
Personal Data
Personal Identification,
Demographic (Lifestyle, Sex, Age,
Education, Race, etc), Purchase
Transactions, Games, Affiliations,
Email, Chat, Call Centre, Medical,
Surveys You Have Filled, Photos,
Videos, Credit Score, RG Data, etc
Machine
Generated
Data
Web Logs, Click Streams, Call
Detail Records, Session
Records, GPS Logs, Systems
Monitoring Records
Social
Network
Data
Your Friends, Your
Recommendations or
Likes/Dislikes, Who you
Communicate With, What
You Communicate About,
Who You Follow
@SimoDragicevic , @Bet_Buddy

5. The Big Data Show, London, 25th April 2013
Our Data
Personal Data
Personal Identification,
Demographic (Lifestyle, Sex, Age,
Education, Race, etc), Purchase
Transactions, Games, Affiliations,
Email, Chat, Call Centre, Medical,
Surveys You Have Filled, Photos,
Videos, Credit Score, RG Data, etc
Machine
Generated
Data
Web Logs, Click Streams, Call
Detail Records, Session
Records, GPS Logs, Systems
Monitoring Records
Social
Network Data
Your Friends, Your
Recommendations or
Likes/Dislikes, Who you
Communicate With, What
You Communicate About,
Who You Follow
@SimoDragicevic , @Bet_Buddy

6. The Big Data Show, London, 25th April 2013
Research
• Study 1: K-means clustering analysis sampled from a research
cohort of 128,000, replicating a Harvard Medical School study
• Study 2: Descriptive and comparative analysis of players sampled
from a research cohort of 240,000 players
• Study 3: Development of a logistic regression model to predict
problem gamblers using data from Study 2
@SimoDragicevic , @Bet_Buddy

7. The Big Data Show, London, 25th April 2013
Productization – Gaming Analytics Platform
Marketing Analytics
Risk Analytics
@SimoDragicevic , @Bet_Buddy

8. The Big Data Show, London, 25th April 2013
Productization – How We Make Decisions
System 1
Operates automatically and quickly
with little or no effort and no sense
of voluntary control
System 2
Allocates attention to the effortful
mental activities that demand it,
including complex computations
@SimoDragicevic , @Bet_Buddy

9. The Big Data Show, London, 25th April 2013
Productization – Meaningful Interactions (Bet Buddy API)
@SimoDragicevic , @Bet_Buddy

10. The Big Data Show, London, 25th April 2013
Why Is This Important?
 Increase Customer Retention: Building meaningful customer
relationships
 React to New Regulations: Duty of care to do everything to
protect customers
 Reduce Rate of Healthcare Cost Increase: Focus on scalable
prevention rather than expensive treatment
 Deliver on CSR Expectations: Customers expect organizations to
‘do the right thing’
@SimoDragicevic , @Bet_Buddy

11. The Big Data Show, London, 25th April 2013
Thank you!
Contact
simo@bet-buddy.com
@SimoDragicevic
Web
www.bet-buddy.com
www.bet-buddy.blogspot.com
Twitter
@Bet_Buddy
@Bet_Buddy/team