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Human Resources Analytics – Level 1

Course Information:

Venue:Duration:Date:Price:
Online 12 hours Flexi-date£1,750.00
In-House Agreed with client FlexiblePOA
London 5 days 14-Mar£3,500.00
London 5 days 18-Jul£3,500.00
London 5 days 7-Nov£3,500.00

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    LCT 2022 Brochure
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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

    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





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