Imagine that you’re a marketing executive at a major telecommunication company that has been facing the issue of increased customer churn recently. You’re 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 selling stores. You also believe that web blogs and posts contain very important information that you could use to attack customer churn. Examining the unstructured data and the structured data together may provide more insight into why customers want to leave one company and join another company.
Write a 4–5 page paper in which you: