Training on Advanced HR Analytics & HRIS Mastery

This in-depth program develops advanced skills in HR Analytics and HRIS, focusing on predictive modeling, HRIS implementation, integration with BI tools, and strategic alignment with organizational performance.

Duration

10 Days

Who Should Attend?

• Senior HR Managers and HR Business Partners
• HR Analysts/Data Scientists
• HRIS Project Leads and System Administrators
• HR Consultants and Strategists
• Professionals aiming to specialize in HR technology and analytics

Organizational Impact

• Advanced analytics improves workforce planning and reduces attrition costs.
• Predictive HR models strengthen recruitment and succession planning.
• Integrated HRIS ensures efficiency, compliance, and cost savings.
• Alignment of HR metrics with strategic business goals.

Personal Impact

• Ability to design and implement HR analytics strategies.
• Advanced proficiency with analytics tools (Excel, Power BI).
• Confidence in managing HRIS projects from planning to rollout.
• Strategic mindset in aligning HR data with organizational goals.

By the end of this course, participants will:

• Design and implement HR analytics strategies that support organizational performance.
• Use advanced analytics techniques to solve complex HR challenges.
• Manage HRIS implementation, customization, and integration.
• Create HR dashboards and predictive models for workforce insights.
• Align HR analytics with overall corporate strategy and digital transformation goals.

Module 1: Strategic HR Analytics Foundations

• HR analytics maturity models
• Key KPIs aligned with business strategy
• Case Study: Benchmark HR KPIs for a real company and propose alignment with strategy.

Module 2: Fundamentals of Budgeting

• Data governance, privacy, and security
• HR data architecture and workflows
• Practical Exercise: Create a compliance checklist for HR data governance based on GDPR/local laws.

Module 3: Advanced HR Analytics Tools

• Predictive modeling for attrition and performance
• Regression and clustering in HR data
• Case Study: Use a dataset to run regression analysis predicting turnover drivers.

Module 4: Workforce Planning & Talent Analytics

• Succession planning analytics
• Talent acquisition metrics and predictive hiring models
• Employee engagement and retention strategies driven by data

Module 5: Case Studies & Applications

• HR analytics in strategic decision-making
• Benchmarking HR practices with analytics
• Group project: Analyzing a workforce dataset for insights

Module 6: HRIS Fundamentals & Systems Architecture

• HRIS modules (recruitment, payroll, performance, learning, benefits)
• Cloud vs on-premises HRIS solutions
• Selecting and evaluating HRIS vendors

Module 7: HRIS Implementation & Change Management

• HRIS project planning and system rollout
• User adoption strategies and training
• Common pitfalls and lessons from HRIS implementations
• Case Study: Allocate indirect costs using a sample project budget and justify the methodology.

Module 8: HRIS Customization & Reporting

• Workflow automation within HRIS
• Building customized HR reports
• Hands-on: Creating workflows in a sample HRIS

Module 9: Integration with Business Intelligence (BI)

• Linking HRIS to BI platforms (Power BI, Tableau)
• Creating real-time dashboards and scorecards
• Using HR data for organizational strategy alignment

Module 10: The Future of HR Technology & Capstone Project

• HR digital transformation: AI, machine learning, and automation in HR
• Trends in HR technology adoption in Africa and globally
• Group presentations: Designing an HRIS & HR Analytics roadmap for a sample organization