Human Resources Analytics – Level 2

Course Information:

Venue:Duration:Date:Price:
Online 20 hours Flexi-date£2,750.00
In-House Agreed with client FlexiblePOA
London 5 days 18 March 2024£4,250
London 5 days 22 July 2024£4,250
London 5 days 11 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 contribution of HR towards organisational performance

    Outcomes

      • 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

    COURSE TOPICS:

    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

    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 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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    Human Resources Analytics – Level 2

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