Human Resources Analytics – Level 1
Course Information:
| Venue: | Duration: | Date: | Price: |
|---|---|---|---|
| Online | 12 hours | Flexi-date | £1,750.00 |
| In-House | Agreed with client | Flexible | POA |
| London | 5 days | 14-Mar | £3,500.00 |
| London | 5 days | 18-Jul | £3,500.00 |
| London | 5 days | 7-Nov | £3,500.00 |
Who should attend?
- Human Resources Directors who would like to strengthen their position in the boardroom
- HR professionals who would like to go the extra mile in developing a robust HR strategy
- HR professionals who would like to measure the contribution of HR towards organisational performance
Accreditations
Outcomes
- Examine the reasoning behind predictive analytics and its benefits
- Explore various levels of analytics and their uses; showing the evolution of metrics into predictive analytics
- Describe the predictive management model and the HCM:21 model
- Appreciate risk assessment as a fundamental part of modern human capital management
- Take an evidence-based approach using advanced analytics to developing a collaborative workplace when selecting and motivating people
- Review when HR software development and options available
- Change HR service delivery into a value-generating process
COURSE TOPICS:
Introduction to Predictive Analytics
- What is analytics?
- Why is analytics important?
- The language of metrics and analytics
- The power of analytics
- The model of predictive management
- Human resources analytics case study
Human Capital Predictive Management
- The big picture and the value of statistical analytics
- The importance of risk assessments
- How to improve hr process
- The employee value proposition
- Getting support to implement strategy exercise
- Strategic choice and advanced analytics case study
HCM practice choice and advanced analytics
- Business intelligence alignment of HCM
- Decision science and implications of HCM decisions
- Human science and selection decisions
- HCM case study
Optimizing selection and promotion decisions
- Talent acquisition and decisions analytics
- Biases and the selection decisions
- Application of expert intuition to selection and promotion decisions
- Predictive modelling and selections decisions
- Applied econometrics and machine learning techniques
Human Science and Incentives
- Incentive contracts
- Complexity theory and incentive contracts
- The application of expert intuition to incentive and motivation issues
- Predictive modelling and incentive contracts
- HR incentives case study
