9 - 13 Jun 2025
London (UK)
Hotel : Landmark Office Space - Oxford Street
Cost : 5250 € Euro
Human capital analytics is a powerful tool for aligning workforce strategies with organizational goals. This program aims to equip participants with the knowledge and skills necessary to leverage data-driven insights for optimizing talent management, improving productivity, and driving operational excellence. The course will focus on advanced analytics techniques, predictive modeling, and the practical application of these tools in real-world scenarios.
Understand the strategic importance of human capital analytics in driving operational excellence.
Develop skills in collecting, analyzing, and interpreting human capital data.
Learn to apply predictive analytics to workforce planning and decision-making.
Gain insights into the integration of human capital analytics with overall business strategies.
Explore best practices and case studies in human capital analytics.
HR professionals and managers
Data analysts in HR and operations
Business leaders interested in leveraging data for workforce optimization
Organizational development professionals
Anyone involved in strategic decision-making related to human resources
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