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Predicting Customer Churn at QWE Inc. Case Solution & Answer

This case, the field is an effective way to expose students to the predictive analysis applied to discrete events with logistic regression. Vice President of Client Services for a successful startup wants to proactively identify customers most likely to cancel service or “cancel”. He entrusted the task to one of its members and provides data on customer behavior and intuition about what motivates churn. The partner should generate a list of customers most likely to beat and the three main reasons for this chance. Although the name of the company and people data be transformed is real and adjusted by an unspecified so that all relations are kept constant.
by
Anton Ovchinnikov
Source: Darden School of Business
4 pages.
Release: June 26, 2013. Prod #: UV6694-PDF-ENG
Predicting churn QWE Inc. Case Solution

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