87%
Prediction Model Accuracy
Machine learning model successfully identifies employee turnover risk 6 months before resignation occurs
€45K
Average Turnover Cost
Total cost per employee departure including recruitment, training, and lost productivity expenses
3.2
Years Average Tenure
Current employee retention benchmark providing baseline for turnover risk assessment strategies
€2.1M
Annual Cost Avoidance
Potential savings through proactive retention interventions targeting high-risk employees

Key Retention Insights

High Prediction Accuracy
Advanced machine learning model achieves 87% accuracy in predicting employee turnover risk 6 months in advance, enabling proactive intervention strategies.
Significant Cost Impact
Each employee departure costs approximately €45K in recruitment, training, and lost productivity, making retention investments highly cost-effective.
Critical Risk Periods
Employees show highest turnover risk during years 1-2 (adjustment period) and after 5+ years (career plateau), requiring targeted retention strategies.
Early Warning System
Predictive model identifies behavioral patterns and engagement signals that precede resignation decisions, creating intervention opportunities.