Focal Research Consultants Limited

Published purpose

The project goal is to determine the feasibility of using machine rating data (i.e., a live data feed) to build predictive models for detecting high-risk gambling behaviour patterns on the gaming floor to trigger effective and safer gambling customer actions (e.g., automated responsible gambling messaging and personal RG interactions). Focal has built commercial risk detection models using player data for over 15 years, recently developing the ALeRT™ BETTOR Protection System, a leading technology to identify and manage risk among member customers. There is uncertainty about how to use anonymous data feeds to extend protection to those wagering without using an identifier and the best way to deploy such a system to achieve improved player outcomes.