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The Wall Street Journal's March 13 article, "The Algorithm that Tells the Boss Who Might Quit," details the use of data points and models to predict which workers might leave a company in the near future.
But Infor President Duncan Angove believes this approach to employee retainment is flawed. "Fundamentally, flagging employees who 'have one foot out the door' creates a negative, awkward manager-employee relationship that is difficult-if not impossible-to productively sustain."
Instead, companies should use data analysis to cultivate success through positive, proactive employee engagement-and that starts from the time candidates submit their applications.
"Rather than trying to convince unhappy employees to stay and hoping they'll be productive, Infor Talent Science helps ensure the right people are in the right positions to achieve your business goals," says Angove.
Infor HCM Marketing Lead Dan de Silva summarizes the benefits of Talent Science: "Clients will be able to shift the talent planning and development from annual and guesswork to near real-time and predictive."
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