(WSJ) The Algorithm That Tells the Boss Who Might Quit

Employers want to know who has one foot out the door.

As turnover becomes a bigger worry””and expense””in a tightening labor market, companies including Wal-Mart Stores Inc.,Credit Suisse Group AG and Box Inc. are analyzing a vast array of data points to determine who is likely to leave a post.

The idea, say people who run analytics teams, is to give managers early warning so they can take action before employees jump ship.

Corporate data crunchers play with dozens of factors, which may include job tenure, geography, performance reviews, employee surveys, communication patterns and even personality tests to identify flight risks, a term human-resources departments sometimes use for people likely to leave.

The data often reveal a complex picture of what motivates workers to stay””and what causes them to look elsewhere.

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