Advancing Human Capital Analytics for Operational Excellence

Day 1: Introduction to Human Capital Analytics

• Session 1: Overview of Human Capital Analytics

  • Definition, scope, and importance

  • Evolution of human capital analytics

  • Key metrics and KPIs in human capital analytics

• Session 2: Data Collection and Management

  • Identifying data sources within the organization

  • Data quality and integrity: best practices

  • Introduction to HR data management systems

• Session 3: Descriptive Analytics for Workforce Insights

  • Basic statistical tools and techniques

  • Visualizing human capital data

  • Case studies: Descriptive analytics in action

Day 2: Predictive Analytics and Workforce Planning

• Session 1: Introduction to Predictive Analytics

  • Fundamentals of predictive modeling

  • Application of predictive analytics in human resources

• Session 2: Predictive Workforce Planning

  • Forecasting workforce needs and talent gaps

  • Scenario planning and simulation models

  • Case study: Predictive analytics in talent acquisition

• Session 3: Advanced Techniques in Predictive Analytics

  • Machine learning and AI in human capital analytics

  • Tools and platforms for predictive modeling

  • Practical workshop: Building a predictive model

Day 3: Linking Human Capital Analytics to Business Outcomes

• Session 1: Strategic Alignment

  • Aligning human capital metrics with business goals

  • Creating a human capital scorecard

• Session 2: Measuring the Impact of HR Initiatives

  • ROI of human capital investments

  • Performance management and employee engagement metrics

  • Case study: Impact analysis of HR interventions

• Session 3: Advanced Visualization and Reporting

  • Effective communication of analytics insights

  • Building dashboards for stakeholders

  • Practical session: Designing a human capital analytics report

Day 4: Integrating Human Capital Analytics with Operational Excellence

• Session 1: Human Capital Analytics and Operational Efficiency

  • Reducing turnover and increasing productivity

  • Enhancing workforce agility through analytics

• Session 2: Risk Management and Compliance

  • Using analytics to identify and mitigate HR risks

  • Ensuring compliance with labor laws and regulations

• Session 3: Change Management and Analytics

  • Driving organizational change with data-driven insights

  • Case study: Analytics in managing organizational transformation

Day 5: Advanced Applications and Future Trends

• Session 1: Predictive Analytics for Leadership Development

  • Identifying high-potential employees

  • Succession planning and leadership pipeline analytics

• Session 2: Emerging Trends in Human Capital Analytics

  • Big data and analytics in HR

  • The role of AI and machine learning in the future of HR

• Session 3: Practical Applications and Final Project

  • Hands-on project: Implementing a human capital analytics strategy

  • Group presentations and feedback

  • Wrap-up and next steps for participants