Applying Data Mining Techniques to WIFLY in Customer Relationship Management

摘要

In recent years, wireless service subscribers are easy and frequent to change from one service provider to another for better service, which is called churn. This study applied data mining techniques to predict customer churn in Customer Relationship Management (CRM) and build predicting model to prevent customer churn. The experimental evaluation results show that customer churn model is effective and efficient. It can help enterprise in predicting the customer churn, building customer loyalty and maximizing enterprise profitability.