HR Analytics - Concepts and Tools for Effective Decision Making

Course Info

Length:

5 Days

Type:

In Classroom

Available Dates

2025-04-14

Amsterdam

2025-04-14

Barcelona

2025-04-14

Paris

2025-04-14

Singapore

2025-04-14

Istanbul

2025-04-14

Kuala Lumpur

2025-04-14

London

2025-05-12

Dubai

2025-06-16

London

2025-07-14

Kuala Lumpur

2025-07-14

Amsterdam

2025-07-14

Barcelona

2025-07-14

Paris

2025-07-14

Istanbul

2025-07-14

Singapore

2025-07-14

Dubai

2025-08-11

London

2025-09-15

Dubai

2025-10-13

Kuala Lumpur

2025-10-13

Singapore

2025-10-13

Istanbul

2025-10-13

Paris

2025-10-13

London

2025-10-13

Barcelona

2025-10-13

Amsterdam

2025-11-10

Dubai

2025-12-15

London

Course Details

  • Introduction
  • Objective
  • Who should attend

 

In this course, you take a strategic view of your organization's use of HR data and its measurement systems. The course prepares you to determine the HR metrics that align with your company's strategic goals. It explains the characteristics of high-quality data and equips you to find and collect that data, inside or outside your organization. 

 

The course provides a high-level introduction to common analysis techniques and some mistakes to avoid when interpreting data or assessing reports and interpretations offered by others. In the final section of the course, you will learn to take the results of your data collection and analysis and communicate your findings in a compelling manner so that change follows.


Your ability to think strategically about people analytics will help you capture and keep the attention of your senior leadership and will support more informed, evidence-based decision-making in realms that extend well beyond the human resources office.

Course Outline

5 days course
  • Day 1
  • Day 2
  • Day 3
  • Day 4
  • Day 5
Introduction to HR Analytics
 
  • The Meaning and Power of Analytics
  • Big Data and HR
  • The Purpose and Uses of HR Analytics 
  • Needed Skills and Common Pitfalls to Avoid – The Analytical Leader
  • Trend and Regression Analysis 
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