Real life statistical analysis and data mining project case studies
A nation - wide business newspaper asked for assistance in its strategic plan to reduce churn rate. The newspaper’s analysts used Analysis Pro Logistic Regression suite on a well established data set. At the first phase of the project the software assisted the analysts to assign likelihood to churn score for each customer in the data set. In the second phase of the project the likelihood score formula was implemented as an SQL statement and was assigned to all of the customers. The churn score analysis has also reviled some of the major churn root causes. The reviling of the major churn causes led the marketing staff to change a part of the CRM flow.