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WSJ: HP Piloted Program to Predict Which Workers Would Quit

Joel Schectman at the Wall Street Journal wrote about a story broken in my new book, Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die.

 

Wall Street Journal Article:

Book: HP Piloted Program to Predict Which Workers Would Quit

 

Joel Schectman, Wall Street Journal

 

Hewlett Packard Co. tested a predictive scoring system that attempted to grade the likelihood that individual workers would quit the company, according to a new book.

 

HP piloted the scoring system in 2011 aimed at lowering attrition through a better understanding of which workers were most likely to leave, according to Predictive Analytics: The Power To Predict Who Will Click, Buy, Lie Or Die by Eric Siegel… HP data scientists believed a companywide implementation of the system could deliver $300 million in potential savings “related to attrition replacement and productivity”… 

 

… "The scarcest resource any company has is human resources," Mr. Siegel said. Predictive analytics offers the possibility to "preemptively intervene" in employee attrition, and "that's the holy grail," Mr. Siegel said. 

 

Access the complete article here

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Tags: Eric, Predictive, Siegel, analytics, big, churn, data, mining, modeling, text

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