Transform HR into a data‑driven function with this program on HR analytics and workforce intelligence. Participants will learn to collect, analyze, and interpret workforce data to inform strategic decisions on talent acquisition, retention, performance, and productivity. The curriculum covers predictive labor models (turnover, absenteeism), workforce planning analytics, and the use of HR metrics to demonstrate business impact. Through hands‑on exercises with HR datasets, attendees will develop skills in data visualization and storytelling with HR data. This program equips HR professionals, analysts, and leaders to leverage analytics for strategic workforce optimization.
Objectives
- Identify key HR metrics and their business relevance
- Collect and clean HR data from various sources (HRIS, surveys, performance systems)
- Analyze workforce trends (turnover, tenure, diversity) using Excel or BI tools
- Build predictive models for employee turnover and absenteeism
- Use workforce planning analytics to forecast talent needs
- Evaluate the effectiveness of HR programs (training, engagement, recruitment)
- Create HR dashboards that communicate insights to management
- Apply analytics to support diversity and inclusion initiatives
- Develop a data‑driven HR strategy aligned with business goals
Target Audience
- HR analytics specialists and people analysts
- HR business partners and managers
- Talent management and workforce planning professionals
- HRIS and systems administrators
- Senior HR leaders seeking to embed analytics
- Consultants in HR technology and analytics
- Anyone interested in using data to improve HR outcomes
Methodology
- Hands‑on analytics exercises with Excel/Power BI
- Predictive modeling workshops using sample data
- Dashboard design sessions
- Case study analyses of HR analytics applications
- Data storytelling practice
- Peer sharing of HR analytics projects
- Action planning for implementing analytics in participants' organizations
