1. 1 Some more examples Client satisfaction Products sold Trusted advisor score Net growth TOP PERFORMERS Age diversity HIGH Credibility HIGH Absenteeism LOW Trust from Immediate mgr HIGH Client focus HIGH LOW PERFORMERS Engamgent MEDIUM Involvement MEDIUM Trust from Immediate mgr LOW Gender diversity LOW Vision & Direction LOW

2. 10 golden rules for HR analytics 1. Strategic workforce planning and HR analytics 2. Combine analytics and intuition 3. Make analytics business relevant and actionable 4. Involve compliance and legal 5. Think of the skills you need 6. Start small and be realistic 9. Preach analytics 10. Teach analytics 7. Try (when ready) self service analytics 8. Understand the models and its outcomes

3. It is about a balanced blend of skills HR analytics 5. Think about the skills you need

4. The next big thing in HR analytics Easy to use Quickly exploring data Methods on demand Insights on demand Visualisation on demand Predictive simulation on demand 7. Try (when ready) self service analytics

5. 8. Understand your models and its outcome ApproachTechniqueHow? Clustering (understanding hidden group patterns) Cluster analysis Clustering based on multiple employee characteristics Driver Analysis (understandig hidden relationships) Correlation Linear Regression Random Forest Decision Trees Structural Equation Modeling Correlation matrixes showing relationships Regression, Random Forest & Decision Trees to isolate effects Risk Scoring or Analysis (understanding probabilities) Logistic Regression Classification Creating risk scoring tables and Turnover Risk heat maps and assessing the likelihood of occurring events Forecasting (understanding future trends) Time Series Developing future trend lines, based on historical patterns

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