Designing of customer and employee churn prediction model based on data mining method and neural predictor

In recent years due to increased competition between companies in the services sector, predict churn customer in order to retain customers is so important. The impact of brand loyalty and customer churn in an organization as well as the difficulty of attracting a new customer per lost customer is very painful for organizations. Obtaining a predictive model customer behaviour to plan for and deal with such cases, can be very helpful. Employee churn or loss of staff will be close to the customer churn, but the impact of losing a major customer for organization certainly will be more painful (because organization do not have physical sense to losing their employees) while the consequences of finding well employees instead of missed employees, As well as the cost of in-service training that should be given to new employees could be one of the issues that each organization would be sensitive to losing its human resources.