Human Resources Analytics – Level 2

Course schedule

Classroom Training:
DateVenueDurationPrice
22 - 26 Jul 2024London5 days£4,250
11 - 15 Nov 2024London5 days£4,250

Please note: prices shown above are exclusive of VAT (20%).

Course Overview

Advance your HR analytics skills with this course, focusing on predictive modeling, analytics strategies, and the translation of data insights into strategic HR decisions.

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

Course 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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