HR analytics

2. HR Analytics
Dr.Jitha G.Nair
Assistant Professor
Albertian Institute of Management

3. Introduction
• Hr analytics is defined as the analytics of HR,
which embodies the entire lifecycle of an
employee, such as recruitment, managing
performance, incentives and employee
engagement

4. Purpose

5. Levels of HR analytics
• Descriptive analytics
• Basic workforce data
• People development and performance data
• Perceptual data
• Performance data
• Multidimentional analytics
• Predictive analytics

6. Method
• Clustering
• Driver analytics
• Risk analytics
• Forecasting

7. Metrics
• Monthly turnover rate
• Revenue per employee
• Yield ratio
• Human capital cost
• HR to staff ratio
• Cost to hire

8. Tools
• Optimize the interview process with(hirevue insights)
• Better define your benchmarks with(bersinby deloitte)
• Increase retention of staff learning initiatives(skillport)
• Intelligently manage the talent(saba)

9. Uses of HR analytics
• Reporting
• Dashboards
• Data mining
• Better problem solving and decision making

10. Importance
• Improved hiring decisions
• Good training
• Better insights
• Stable retention
• Tracking company profitability