Introduction

HR analytics enables organizations to transform workforce data into actionable insights that enhance performance and strategic decision-making. High-impact organizations rely on predictive analytics to optimize talent deployment and measure HR effectiveness.

This course focuses on applying advanced HR analytics to improve organizational performance and workforce outcomes.

Course Objectives

• Understand key HR analytics methodologies.

• Apply predictive analytics in workforce decision-making.

• Improve performance measurement systems.

• Enhance strategic HR reporting capabilities.

Target Audience

• HR Analysts.

• Performance Management Professionals.

• Data-Driven HR Leaders.

• Senior Executives overseeing HR functions.

Course Outline

Day 1: Foundations of HR Analytics

1. Introduction to HR metrics and analytics frameworks.
2. Descriptive vs predictive analytics.
3. Data collection and integrity standards.
4. Linking HR analytics to business strategy.

Day 2: Workforce Performance Measurement

1. Key performance indicators (KPIs) in HR.
2. Employee engagement analytics.
3. Turnover and retention analysis.
4. Productivity measurement models.

Day 3: Predictive Analytics in HR

1. Predicting turnover risks.
2. Workforce forecasting models.
3. AI-supported HR analytics tools.
4. Data-driven talent decision-making.

Day 4: Strategic Reporting & Optimization

1. Executive HR dashboards.
2. Data visualization best practices.
3. Identifying performance improvement opportunities.
4. Linking analytics to ROI measurement.

Day 5: Practical Application

1. HR analytics case study.
2. Dashboard development workshop.
3. Predictive modeling simulation.
4. Performance optimization action plan.