TalkThree’s new Analytics Director, Michael, has had a sobering month. What he had hoped would be his first major contribution to his company has fallen flat. His team created a Model which was intended to address a pressing challenge for TalkThree: a steady stream of departing cellular phone service customers, known as “churners.” Their model predicts who is most likely to leave, and though he delivered it enthusiastically, it received an unexpectedly lukewarm reception from the customer retention team. The churn solution was a poorly conceived data product that didn't reach its audience in a way that worked for them.
This post first appeared on Elder Research Data Science & Machine Learning Blog, please read the originial post: here