摘要： Predictive analytics can be invaluable to any organization that is striving to improve employee retention. Here's why it's so helpful and beneficial in nowadays.
The benefits of predictive analytics for businesses are numerous. Most case studies and industry advice columns focus on improved cost effectiveness, the propensity for innovation and the ability to reach new customers. However, predictive analytics can be just as valuable for solving employee retention problems.
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Employee turnover can have a number of consequences. Companies will lose a lot of money training employees that fail to stick around if they don’t create the right company culture. They will also see a reduction in productivity, due to lower morale and a less experienced workplace.
Fortunately, there are a variety of ways that predictive analytics can help minimize turnover. Organizations need to find ways to utilize predictive analytics for their employee retention strategy.
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Some employee groups are more likely to feel dissatisfied than others. Predictive analytics models should take that into consideration. Examples of employees that might be prone to feeling dissatisfied include:
1.Younger workers with elevated expectations about salaries, benefits and advancement opportunities
2.Highly intelligent employees that are in positions they are overqualified for
3.Employees that have previously been passed over for promotion
4.Minority employees that might feel left out or discriminated against
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Full Text： smartdatacollective
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