Advanced Human Resources Analytics

Unearth amazing insights to improve your decision-making

Course Fee: £4500 + VAT (20%)

Dates for this course:

18 Nov 2019 to 29 Nov 2019 London
16 Mar 2020 to 27 Mar 2020 London
20 Jul 2020 to 31 Jul 2020 London
09 Nov 2020 to 20 Nov 2020 London
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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 contribution of HR towards organisational performance

Learning Objectives

By the end of the course delegates will be able to: 

• Identify 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 develop a collaborative workplace when selecting and motivating people
• Develop Workforce Planning that replaces gap-analysis with the concept of generating human capability
• Change HR service delivery into a value-generating process

Course Content

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 

HCM Applications, Analytics and HR Decisions

• IT options and optimal HCM practice
• Enterprise resource planning (ERP)
• Business intelligence applications
• Talent management and advanced analytics
• The new face of workforce planning

The New Face of Workplace Planning

• Human resources versus human capital planning
• Quality employee engagement measurements
• Collapsing the silos
• Process analysis for human resources
• Human capital planning case study

Turning Data into Business Intelligence

• What are metrics?
• Avoiding common metrics mistakes
• Second generation metrics: benchmarking
• Third generation metrics: predictive analytics
• Understanding the data vs In
• Understanding the data vs Insight exercise
• Business intelligence case study

Data Interpretation

• Predictive Analytics for Human Capital Management
• Using Human Capital Data for Performance Management
• Using HR metrics to make a difference
• Common pitfalls in data interpretation