The Application Of Data Mining In Telecome Customers Churn Prediction

Market in telecoms industry is much maturing today and they recognize the importance of proactive customer relationship management, focusing on existing customer care. How to keep valuable customers and how to make them more profitable to the company?Churn prediction is usually the biggest concern in Telecoms Company due to its typical market characteristics such as market saturation and dynamic market changes. As the telecoms market becomes saturated, acquiring the new customer is getting much more expensive than retaining the existing customer base and also dynamic market changes in competitors, technologies and regulations could cause great opportunities for the customers to leave for another companyThe aim of the thesis is that by using data mining, you can get the data mining model based on your historical customer data which can generate the customer list with high probability to leave the company. Eventually It will give you the valuable business insights to setup effective marketing strategies to prevent your customer from leaving your company.The first achievement of the thesis is the process of churn prediction described in this chapter is based on the predictive modeling in data mining method; the second is using the method in the industry to give the prediction of churn.