Customer Retention in Banking Sector using Predictive Data Mining Technique

Churn in the banking sector is a major problem today. Losing the customers can be very expensive as it costs to acquire a new customer. In this paper, we have made a solution for the churn problem in banking sector using data mining technique. Predictive data mining techniques are useful to convert the meaningful data into knowledge. As predicting churn is more important for a bank, we have used Classification and Regression Trees to yield a better overall classification rate. KeywordsPredictive Data Mining, Churn Prediction, Classification models, Banking sector