Course Details

HR Analytics and Data-Driven Decision Making Training Course

INTRODUCTION

In today’s data-driven business environment, human resources (HR) professionals must leverage analytics to make informed decisions that enhance organizational performance and workforce productivity. HR Analytics and Data-Driven Decision Making Training Course is designed to equip HR professionals with the skills to collect, analyze, interpret, and apply HR data to solve complex workplace challenges and support strategic decision-making.

Participants will learn how to use data to uncover workforce trends, predict future HR needs, measure the effectiveness of HR initiatives, and demonstrate the ROI of HR programs. The course covers foundational analytics concepts, data visualization techniques, predictive modeling, and the use of HR metrics and key performance indicators (KPIs). Real-world case studies and practical exercises will help participants apply their learning in real-world scenarios.

 DURATION

5 days

TARGET AUDIENCE

This course is ideal for:

• HR Managers and Leaders responsible for strategic decision-making.
• HR Business Partners seeking to leverage analytics in their roles.
• HR Analysts working with workforce data and HR metrics.
• Recruitment and Talent Acquisition Specialists aiming to improve hiring processes with data.
• Learning and Development Professionals measuring the impact of training programs.
• Compensation and Benefits Specialists interested in data-driven pay and rewards strategies.
• Organizational Development Practitioners focusing on workforce planning and optimization.
• HR Generalists aspiring to enhance their data analysis skills.
• Business Leaders interested in understanding how HR analytics supports organizational goals.

COURSE OBJECTIVES

By the end of the course, participants will:

• Understand the role of HR analytics in workforce management and organizational success.
• Learn how to identify and track critical HR metrics and KPIs.
• Develop skills in data collection, analysis, and interpretation for HR decision-making.
• Utilize data visualization tools to effectively communicate HR insights to stakeholders.
• Apply predictive analytics to forecast workforce trends and challenges.
• Design and evaluate HR programs using data-driven approaches.
• Use analytics to measure the ROI of HR initiatives such as recruitment, training, and engagement programs.
• Gain hands-on experience with HR analytics tools and platforms.
• Explore ethical considerations and compliance issues in HR data management.
• Build a data-driven culture within the HR function and the broader organization.

COURSE CONTENT

Module 1: Introduction to HR Analytics

• What is HR analytics?
• The evolution of data-driven decision-making in HR.
• Types of HR analytics: descriptive, diagnostic, predictive, and prescriptive.
• Benefits of using analytics in HR strategy and operations.

Module 2: HR Metrics and Key Performance Indicators (KPIs)

• Identifying key HR metrics: turnover rates, employee engagement, recruitment efficiency, etc.
• Setting benchmarks and standards for HR KPIs.
• Using metrics to measure and improve HR effectiveness.
• Aligning HR metrics with business objectives.

Module 3: Data Collection and Management in HR

• Best practices for HR data collection and storage.
• Ensuring data accuracy, integrity, and security.
• Sources of HR data: surveys, HRIS, performance systems, and external databases.
• Overcoming challenges in data collection and integration.

Module 4: Data Analysis Techniques for HR Professionals

• Basic statistical techniques for HR analysis.
• Identifying patterns and trends in workforce data.
• Conducting correlation and regression analysis.
• Tools and software for HR data analysis (e.g., Excel, Power BI, Tableau).

Module 5: Data Visualization and Communication

• Principles of effective data visualization.
• Creating HR dashboards and reports for stakeholders.
• Communicating data insights through storytelling.
• Best practices for presenting data to executives and non-technical audiences.

Module 6: Predictive Analytics in HR

• What is predictive analytics?
• Applications of predictive modeling in HR (e.g., turnover prediction, talent forecasting).
• Tools and technologies for predictive HR analytics.
• Case studies: Using predictive analytics to solve HR challenges.

Module 7: Workforce Planning and Optimization

• Using analytics for strategic workforce planning.
• Analyzing workforce demographics and skills gaps.
• Forecasting future workforce needs.
• Scenario planning and decision modeling for workforce optimization.

Module 8: Measuring ROI of HR Initiatives

• Understanding ROI and its importance in HR.
• Calculating the ROI of recruitment, training, and employee engagement programs.
• Using analytics to evaluate the effectiveness of HR interventions.
• Demonstrating HR’s value to organizational leaders.

Module 9: Ethical and Legal Considerations in HR Analytics

• Ensuring data privacy and security in HR analytics.
• Complying with labor laws and data protection regulations (e.g., GDPR).
• Addressing ethical dilemmas in data-driven decision-making.
• Building employee trust in HR data practices.

Module 10: Practical Workshop – Developing an HR Analytics Strategy

• Hands-on exercise: Designing an HR analytics framework for a sample organization.
• Selecting and tracking key HR metrics.
• Creating dashboards and reports to communicate findings.
• Presenting data-driven solutions to common HR challenges.

 CERTIFICATION

• Upon successful completion of this training, participants will be issued with Macskills Training and Development Institute Certificate

TRAINING VENUE

• Training will be held at Macskills Training Centre. We also tailor make the training upon request at different locations across the world.

AIRPORT PICK UP AND ACCOMMODATION

• Airport pick up and accommodation is arranged upon request

TERMS OF PAYMENT

• Payment should be made to Macskills Development Institute bank account before the start of the training and receipts sent to info@macskillsdevelopment.com