Employee retention is an increasingly serious issue in many business sectors. Understanding which factors cause employees to leave and which actions retain them is an important Business Intelligence application. This paper demonstrates analytic methods to address this problem. Data mining and predictive modeling can be used to improve retention of critical employees. The business user can use the retention analysis to generate reports that show how the loss of critical skills would affect an organization. Reports identify job groups, geographical regions, or organizational areas that have higher risk for employee voluntary termination. Additionally, the influential drivers to high-risk groups are identified to suggest the best course of action to reduce the risk.
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