Identifying Employee Resignation Risk - HR Analytics
Predictive analytics for identifying employees at risk of resignation
📊 Key Performance Metrics
83%
Resignation Prediction Accuracy
19%
Employees At Risk
€28K
Average Replacement Cost
💡 Strategic Insights
1
High Prediction Accuracy
83% accuracy in predicting employee resignation risk 3-6 months in advance
2
Risk Population
19% of workforce identified as high-risk for resignation
3
Replacement Cost
€28K average cost per employee replacement justifies retention investments
📈 Data Visualization Summary
👥 Accuracy: 83% | At-risk: 19% | Replacement: €28K
🎯 Strategic Action Plan
🚀 Primary Focus: Leverage the key insights from this comprehensive analysis to drive strategic decision-making and optimize business performance across all identified areas.
📈 Implementation Priority: Focus resources on the highest-impact metrics and findings identified in this dashboard to maximize return on investment and accelerate growth.
📊 Performance Monitoring: Establish robust KPI tracking systems based on these analytical findings to ensure continuous improvement and maintain competitive advantage.
🔄 Continuous Optimization: Regularly review and update strategies based on ongoing data collection to maintain relevance and effectiveness of implemented solutions.