Human Resources Analytics – Level 1

Course Information:

Venue:Duration:Date:Price:
Online 20 hours Flexi-date£2,750.00
In-House Agreed with client FlexiblePOA
London 5 days 11 March 2024£4,250
London 5 days 15 July 2024£4,250
London 5 days 4 November 2024£4,250

If you are unable to attend this course on the dates above, please contact us to discuss alternative options.
Please note that prices shown above are exclusive of VAT (20%).

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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 the contribution of HR towards organisational performance

    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





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    Human Resources Analytics – Level 1

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