Employee Attrition Prediction: A Data-Driven HR Decision Support System

Key Points

• The aim is to assess the use of a data-driven HR decision support system for predicting employee attrition.
• Developed a predictive model using historical employee data.
• Conducted analyses to evaluate the effectiveness of the system in predicting attrition.
• Utilized statistical methods to compare outcomes between different employee groups.
• The predictive model achieved an accuracy rate of 85% in identifying potential attrition.
• Employees identified at risk showed a 30% higher turnover intention within the next quarter.
• P<0.05 indicates significant findings from the HR decision support analysis.