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Employee Attrition Prediction

Employee attrition refers to the percentage of workers who leave an organization and are replaced by new employees. A high rate of attrition in an organization leads to increased recruitment, hiring, and training costs.
Employee Attrition Prediction

This use case takes HR data and uses machine learning models to predict what employees will be more likely to leave given some attributes. Such model would help an organization predict employee attrition and define a strategy to reduce such costly problem.

Most of the work we do in the field of people analytics is oriented to helping organizations understand what is most important to their employees, with the goal of making improvements to increase employee engagement and productivity, and reduce unwanted attrition.

Employee attrition analytics is specifically focused on identifying why employees voluntarily leave, what might have prevented them from leaving, and how we can use data to predict attrition risk. Most importantly, this type of employee predictive analytics can be used to help organizations understand and design the interventions that will be most effective in reducing unwanted attrition.

Probyto AI allows organizations to build and manage such usecases and track the benefits of AI adoption in their businesses. Currently, FREE 60 minutes AI Consultation is being provided to the registered users in the Probyto AI Demo platform. If you haven't registered yet, register now to Probyto AI Demo.

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