HR Techologies & Systems
Sep 17, 2025
6
min
time series analysis for attrition, forecast employee turnover, ARIMA model for HR, predictive analytics in HR, employee retention forecasting, people analytics, autocorrelation HR data, seasonal employee turnover, workforce planning analytics, HR data trends, proactive retention strategy, employee attrition patterns, human resources forecasting, Stop reacting to employee turnover and start predicting it with time series analysis for attrition. This powerful people analytics method allows you to analyze your historical departure data to uncover patterns like trends and seasonality, and ultimately forecast future attrition rates. By understanding the core concepts of what time series forecasting is in HR and using robust models like ARIMA, you can anticipate high-risk periods before they happen. While this method forecasts the overall rate, it pairs perfectly with other models like using logistic regression to identify at-risk employees on an individual level. This foresight enables you to build a proactive retention strategy, such as knowing the right time to conduct effective stay interviews and optimize workforce planning.
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