Software Development and Modelling for Churn Prediction Using Logistic Regression in Telecommunication Industry

Along with the fast progress of the telecom industry, a good and reliable customer relationship has likely become the main concern for the telecom service providers. It is known that if a standing customer dismisses a bond with current wireless company and avail the services of another wireless company results the loss of customer which is referred as churn customer. All telecommunication service providers are affected badly from deliberate churn. The survival of these companies depends on its ability to hold customers. This paper focus to identify the best modelling technique which helps to correctly predicts the churn customer and also emphasis to make a reliable software for the telecom companies to find which customer is going to churn, java programming is done in eclipse neon version for software application and logistic regression technique is used to make a mathematical model, because most of the statistician believes that when the independent variable in a dataset does not distributed normally, logistic regression is a best suited and acceptable modelling technique than other modelling techniques.