Flight Risk to Safety Net: The Complications of Monitoring Employee Behavior
Employee turnover is a costly problem for organizations. The loss of employees, particularly those who are highly skilled and experienced, can result in significant costs associated with recruitment, training, and lost productivity. In addition, employee turnover can lead to a decline in morale among remaining employees, as well as a loss of institutional knowledge that can impact the organization's long-term success. To address this problem, organizations are turning to data science to help predict and prevent employee turnover. Advancements in data science have made it possible to accumulate and analyze a variety of data points that can indicate the likelihood that a valued employee is contemplating resigning. One approach that has been used is workforce behavior analytics. This approach involves the analysis of employee data to identify patterns and trends that may indicate a likelih...