Churn Analysis

Name	Churn Analysis
Description	Churn analysis consists of two key tasks: · Predicting whether a particular customer will churn and when it will happen; · Understanding why particular customers churn. These two tasks are referred to as “prediction” and “understanding”. They are usually carried out by using data mining techniques. By predicting which customers are likely to churn, the telecommunication company can reduce the rate of churn by offering the customer new incentives to stay. By understanding why customers churn the telco can also work on changing their service so as to satisfy these customers ahead of time. In addition, the chance of the customer churning after action is taken can be assessed by the data mining tool so as to choose the best strategy in terms of cost and effort.
Topics	Data Mining