Assignment 2: Attacking Customer Churn with Text and Web Analytics
Imagine that you are a marketing executive at a major telecommunication company that has been facing the issue of increased customer churn recently. You are using traditional analytical methods with financial and location data to construct a predictive model for customer churn. However, you want to leverage memo data that has been obtained from the customer contact center and local sells stores. You also believe […]