Applying Advanced Analytics to HR Management Decisions (3-days)

Applying Advanced Analytics to HR Management Decisions (3-days)

Key details

Mode of delivery: Classroom-based

Course code: HR53

Duration: 3 days

Fee: £2,755.00 + VAT

CPD Hours: 18

Course Overview

This course equips participants with essential HR analytics skills, from understanding key data sources and metrics to applying predictive analytics for workforce planning. It focuses on interpreting HR data and effectively communicating insights to support strategic, data-driven decision-making in people management.

Agenda

Day – 1 Foundations of HR Analytics

  • HR Analytics Essentials
  • Predictive Analytics in HR
  • Workforce Planning and optimisation:

Day – 2 Unlocking the Power of People Data

  • People Data and their Sources
  • Big Data in HR
  • HR Metrics and Measurement

Day – 3 Data-Driven Insights: Interpreting and Communicating HR Data

  • Interpreting HR Data
  • Using HR Metrics to Drive Decisions
  • Communicating HR Data Insights

Course Review

  • Summary and recap of key learning objectives
  • Action Planning

Target Audience

This course is suitable for:

  • HR professionals
  • HR Analysts
  • Business Leaders
  • Data Analysts

Learning Outcomes

By the end of this course, you will be able to implement a successful strategy that enables you to:

  • Define HR analytics and explain its strategic importance in modern HR.
  • Describe the role of predictive analytics in forecasting HR trends and mitigating risks.
  • Apply analytical techniques to optimise workforce planning and resource allocation.
  • Identify and categorise different types of people data used in HR analytics.
  • Define and select appropriate HR metrics to measure the effectiveness of HR initiatives.
  • Explain the concept of big data in HR and address the associated challenges and opportunities.
  • Apply analytical techniques to interpret HR data and identify meaningful trends and patterns.
  • Use HR metrics to evaluate the effectiveness of HR programs and make data-driven decisions.
  • Communicate HR data insights effectively through visualizations and storytelling.

Categories

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