Intelligent Design: how to Model Gambler Risk Assessment Using Loyalty Tracking Data

December 2011 

Highlights

• As the gambling industry faces increasing pressure to use systems data to identify and support players at-risk or experiencing harm, there are important considerations around how to implement and evaluate the use of player data for these purposes.
• Specifications of effective gambling risk identification systems include accuracy, broad coverage of member customer bases, and confidence that the system is valid in identifying risky play over the life of the model.
• The guidelines outlined in this paper have particular relevance for setting social policy guidelines, defining regulatory oversight, and corporate social responsibility applications.