Credit Suisse and other big companies are creating algorithms to figure which employees may quit
Companies like Wal-Mart, Credit Suisse, and Box have created data-based algorithms to find out when their employees are likely to quit, according to the article. Data considered in the algorithms range from employee personality to team size to job location.Although there is not one deciding factor, the ability to predict when an employee will quit helps companies reduce turnover, plan for open positions, and save money.
Since then, about 300 people have taken promotions within the firm, the global head of talent acquisition William Wolf told the Journal."We believe we've saved a number of them from taking jobs at other banks," Wolf said.
Data has also helped the bank determine how job titles, promotions, or maternity leave might affect women who want to leave the company.Read the full story at Wall Street Journal >>
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