Data Mining Applications: Improve CRM Predictions with Behavior Scoring

To view the entire webcast visit http://www.statsoft.com/company/webcastsworkshops.htm

Applying data mining to accurately predict customer behavior offers businesses advantages across a wide range of functional areas, from marketing applications such as loyalty and churn/attrition management to credit risk management and overall business strategy. In this Webcast, we will use credit scoring as an example of how existing customers past behavior improves predictions about their probability of default. Customers are initially scored when they apply for a credit card and are evaluated again when a subset of customers apply for extended credit. For the extended credit evaluation, the customer′s transactions are used to improve the initial score. The Webcast will also show that a similar approach is effective to predict customer churn and marketing campaign response.

Category:

Education

Tags:

• Data Mining
• CRM
• STATISTICA
• StatSoft
• Analytics