Date: Wednesday, July 8, 2009
Time: 10 AM EDT | 3 PM BST
Presenter: Dr. Mamdouh Refaat
Duration: 1 hour
Lottery and gaming organizations face unique challenges to grow their market share and manage their business risk. Online gambling services can be profitable but subject to fraudulent credit application or abuse of offers and promotions. Recent cases in North America have highlighted that winning tickets may be disproportionately biased towards particular service outlets. Increasing market share means addressing high rates of churn in loyalty programs and effectively targeting consumers for product or channel cross-sell.
With the availability of rich data these challenges lend themselves very well to predictive analytics solutions based on traditional data mining tools and techniques. In this presentation, data mining industry expert and author Dr. Mamdouh Refaat will review key areas of prevalent technology with business examples of highly successful solutions that highlight the ability to access actionable intelligence from customer data at low costs.
The Angoss Problem Solver series presents relevant and engaging topics to illustrate how data mining tools and techniques can be applied in creative ways to solve real-world business problems.
Registration is closed. Thank you for your interest.