Mining Your Own Business in Telecoms Using DB2 Intelligent Miner for Data

Chapter 5. Can you predict the customers who are likely to leave? 77

5.2 The data to be used

You clearly cannot do data mining without having the data about your customers.

But what data do you need?

The second stage in our data mining method is to

identify the data required to address the business issue and where we are going

to get it from.

Here are the types of data generally needed for churn prediction modeling in

telecoms companies:

򐂰 Churn indicator

򐂰 Customer information data

– Demographic data

– Contract data

򐂰 Call data

򐂰 Billing and payment data

򐂰 Customer indices derived from transaction data

򐂰 Additional data

5.2.1 Churn indicator

In prediction modeling, we need a target variable on which the prediction model

is built. This is the variable ...