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Human Resources Analytics – Level 2

Course Information:

Online 12 hours Flexi-date£1,750.00
In-House Agreed with client FlexiblePOA
London 5 days 21-Mar£3,500.00
London 5 days 25-July£3,500.00
London 5 days 14-Nov£3,500.00


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    LCT 2022 Brochure
    LCT 2022 Brochure

    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



    • Describe the reasoning behind predictive analytics and its benefits
    • To put into use the HCM:21 model
    • Take an evidence-based approach using advanced analytics to developing a collaborative workplace when selecting and motivating people
    • To develop Workforce Planning that replaces gap-analysis with the concept of generating human capability
    • Change HR service delivery into a value-generating process


    HR Analytics in a nutshell

    • What is Analytics?
    • Human Capital Predictive Management
    • HCM practice choice and Advanced Analytics
    • Optimizing selection and promotion decisions
    • Human Science and Incentives

    HCMApplications, 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 Workforce 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 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

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