Prediction of churn behavior of bank customers using data mining tools
PRASAD, U DEVI
Prediction of churn behavior of bank customers using data mining tools - 2013 - 25-30
In recent years, data mining has gained widespread attention and increasing popularity in the commercial world. Transforming raw customer data into information is the gola of data mining projects. However, failure to turn this usefule informationinto customer satisfaction and increased profits is the key to why many such projects often fall short of expectations. thus it is essential to examine why the cusotmers, as indicated by the churn model, are chuened out.
CUSTOMER SATISFACTION MARKETING
658.8
Prediction of churn behavior of bank customers using data mining tools - 2013 - 25-30
In recent years, data mining has gained widespread attention and increasing popularity in the commercial world. Transforming raw customer data into information is the gola of data mining projects. However, failure to turn this usefule informationinto customer satisfaction and increased profits is the key to why many such projects often fall short of expectations. thus it is essential to examine why the cusotmers, as indicated by the churn model, are chuened out.
CUSTOMER SATISFACTION MARKETING
658.8