[ Tips ] 一分鐘使用導覽
商品編號： UV6694 出版日期： 2013/06/26 作者姓名： Ovchinnikov, Anton 商品類別： General management 商品規格： 4p 再版日期： 2014/04/02 地域： 產業： 個案年度： -
商品敘述：
This field-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 start-up wants to proactively identify customers most likely to cancel services or "churn." He assigns the task to one of his associates and provides him with data on customer behavior and his intuition about what drives churn. The associate must generate a list of the customers most likely to churn and the top three reasons for that likelihood. Although the name of the company and individuals are disguised, the data are real and adjusted by an unspecified constant so that all relationships are preserved.
涵蓋領域：
Customer retention;Predictive analytics;Regression analysis;Logistics;Big data
相關資料：
, (UV6695), 10p, by Anton Ovchinnikov;, (UV6696), 0p, by Anton Ovchinnikov
哪些人也有訂購？