Training on HR Analytics and HRIS Integration

Modern Human Resource functions depend on the effective integration of digital systems and data analytics to drive strategic workforce decisions. Human Resource Information Systems (HRIS) serve as the backbone of HR data management, while HR analytics transforms that data into actionable insights.

This course provides a comprehensive and practical foundation in HR Analytics and HRIS integration. It equips participants with the skills to manage HR systems, integrate workforce data, and apply analytics techniques to improve HR planning, reporting, and decision-making.

Participants will learn how HRIS platforms collect, store, and process employee data across the HR lifecycle, including recruitment, onboarding, performance management, and payroll. The course also covers data integration techniques that ensure consistency, accuracy, and accessibility of HR information across systems.

In addition, the program focuses on HR analytics applications, enabling participants to analyze workforce trends, monitor key HR metrics, and generate dashboards that support strategic decision-making. Topics include data quality management, reporting automation, and linking HRIS data with analytical tools such as Excel and visualization platforms.

Through practical exercises and real-world HR scenarios, participants will develop the ability to align HR technology with organizational strategy, enhance workforce insights, and improve the efficiency and impact of HR operations.

Duration

5 Days

Who Should Attend

• HR managers and officers
• HR analysts and data specialists
• HRIS administrators
• Talent management and workforce planning specialists
• Professionals seeking to strengthen HR analytics and HR technology skills

Organizational Impact

• Improved evidence-based HR decision-making.
• Streamlined HR processes and workflows through HRIS.
• Enhanced workforce planning and talent retention.
• Stronger compliance with data governance standards.

Personal Impact

• Increased competence in using HR analytics tools.
• Confidence in interpreting HR data for decision-making.
• Practical experience with HRIS platforms.
• Improved ability to connect HR metrics to business outcomes

By the end of this course, participants will:

• Understand the fundamentals of HR Analytics and HRIS.
• Collect, analyze, and interpret HR data to support evidence-based decision-making.
• Use HRIS platforms to manage workforce information effectively.
• Align HR analytics insights with organizational strategy.
• Apply ethical and data security practices in HR technology.

Module 1: Foundations of HR Analytics & HRIS

• Introduction to HR Analytics: concepts and importance
• Overview of HRIS: functions, scope, and benefits
• Key metrics in HR management (turnover, absenteeism, productivity)
• The role of HR technology in strategic HR
• Practical Exercise: Participants map HR metrics (e.g., absenteeism, turnover) to organizational goals and discuss how HRIS can capture these.

Module 2: HR Data Collection & Management

• Data sources in HR (recruitment, performance, payroll, learning)
• HRIS functionalities: data entry, storage, and management
• Ensuring data quality and consistency
• Navigating a sample HRIS platform
• Practical Exercise: Hands-on exercise entering sample employee data into a test HRIS and generating a basic employee report.

Module 3: HR Analytics Tools & Techniques

• Descriptive, predictive, and prescriptive analytics
• Using Excel for HR analytics (pivot tables, dashboards, charts)
• Data visualization for HR reporting
• Practical Exercise: Build a retention dashboard in Excel using sample HR data.

Module 4: Strategic Applications of HR Analytics

• Linking HR metrics to business outcomes
• Talent acquisition analytics
• Performance management and employee engagement analytics
• Workforce planning and succession management
• Practical Exercise: Analyze a dataset on employee engagement and present findings with recommendations for management.

Module 5: Implementation & Future of HR Analytics and HRIS

• Building a data-driven HR culture
• Ethical and legal considerations in HR data management
• HR technology trends (AI, automation, cloud HRIS)
• Practical Exercise: Group project designing an HR analytics dashboard + HRIS workflow for a mid-sized organization.