Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
The Quant’s Dilemma: Subjectivity In Predictive AI’s Value
 Originally published in Forbes This is the third of a...
To Deploy Predictive AI, You Must Navigate These Tradeoffs
 Originally published in Forbes This is the second of a...
Data Analytics in Higher Education
 Universities confront many of the same marketing challenges as...
How Generative AI Helps Predictive AI
 Originally published in Forbes, August 21, 2024 This is the...
SHARE THIS:

9 years ago
The Executive’s Guide to Employee Attrition

 

Much has been written about customer churn – predicting who, when, and why customers will stop buying, and how (or whether) to intervene. Employee churn is quite similar. Businesses want to predict who, when, and why employees will terminate, and if it makes sense to intervening will deliver good uplift effects.

In many ways, it is smarter to focus inward on employees. For one thing, it is far easier for a company to change their internal operations or even the behavior of an employee, than that of a customer. As will be seen, employee churn can be extraordinarily expensive, and incremental improvements will give big results.

This content is restricted to site members. If you are an existing user, please log in on the right (desktop) or below (mobile). If not, register today and gain free access to original content and industry news. See the details here.

Comments are closed.