This subject-based case is an efficient vehicle for exposing students to predictive analytics as applied to discrete events with logistic regression. The VP of customer services for a successful startup wants to proactively identify customers most likely to cancel services or "churn."He assigns the job to one of his associates and supplies data on customer behaviour and his feeling about what drives churn to him. The associate must create a list of the top three reasons for that chance and the customers likely to churn. Though the name of individuals and the business are disguised, the data are real and fixed by an unspecified continuous so that all relationships are maintained.
Prediction Markets A New Tool for Strategic Decision Making A Case Study Solution
PUBLICATION DATE: June 26, 2013 PRODUCT #: UV6694-HCB-ENG
This is just an excerpt. This case is about LEADERSHIP & MANAGING PEOPLE
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