Saving money by predicting who will quit

On March $132015,$ the Wall Street Journal published an article titled: "The Algorithm That Tells the Boss Who

Might Quit". The article explored how Credit Sulsse was able to predict who might quit the company. It was

one of the first examples of the now very popular employee churn analytics.

Not only were the analysts at Credit Suisse able to predict who might quit, but they also could identify why

these people might quit. This information was provided anonymously to managers so they could reduce

turnover risk factors $($here$\text{'}$s how to calculate emplovee turnover$)$ and retain their people better.

In addition, special managers were trained to retain the high performing employees who had a high flight

risk. In total, this program saved Credit Sulsse approximately $$70,000,000$ a year. The full article can be

found here.

Millennials look for work$-$life alignment, where they can be the

same person, with the same values, at home and in the office.

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