Promotion and pay histories in mathematical formula

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Reference no: EM131437822

Google began crunching data from employee reviews and promotion and pay histories in a mathematical formula to identify which of its 20,000 employees were most likely to quit.

Applying a complex equation to a basic human resource problem is pure Google, a Company that made using heavy data to drive decisions.

Why is Google identifying employees that are most likely to quit?

Why is Google using technology to recruit new employees?

Reference no: EM131437822

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