Customer Churn Warning System based on Business Intelligence

Abstract

Business intelligence approach is adopted for data mining analysis on the customer transaction data and basic customer information of securities companies.Decision tree algorithm is used to create the customer loss warning model, which is then used to analyze and design the securities data mining system.This system based on Weka source code, realized by JSP language and takes the classification analysis in the business intelligent core technology as the core algorithm.Analyzing this system can assist to mine the customers with potential loss trend and help establish specific detainment strategy to prevent great loss due to customer loss.