Case Solution for Predicting Customer Churn at QWE Inc.

Complete Case details are given below :

Case Name :      Predicting Customer Churn at QWE Inc.
Authors :           Anton Ovchinnikov
Source :             Darden School of Business
Case ID :           UV6694
Discipline :        General Management
Case Length :    04 pages
Plagiarism : NO (100% Original work)
Description for case is given below :
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.
 
Click Here to place your order
 
OR
Place your order at casesolutionshub (AT)gmail(dot)com if you want to solve above case.
 
Cordially,
Case Solutions Hub Team
Advertisements

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s