1

Some more examples

Clientsatisfaction

Products sold

Trusted advisorscore

Net growth

TOP PERFORMERS

Age diversityHIGH

CredibilityHIGH

AbsenteeismLOW

Trust fromImmediate mgrHIGH

Client focusHIGH

LOW PERFORMERS

EngamgentMEDIUM

InvolvementMEDIUM

Trust fromImmediate mgrLOW

Gender diversityLOW

Vision & DirectionLOW

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

It is about a balanced blend of skills

HR analytics

5. Think about the skills you need

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

8. Understand your models and its outcome

Approach Technique How?

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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