Training on Data Analytics for Human Resource Managers using Power BI

Module 1: Introduction to HR Analytics and Power BI

• Understanding HR analytics and its strategic importance.

• Overview of Power BI features, components, and interface.

• Connecting HR datasets from Excel, HRIS, and cloud sources.

• Case Study: Exploring workforce data to identify turnover patterns.

Module 2: Data Preparation and Transformation with Power Query

• Cleaning and shaping HR data for analysis.

• Combining multiple data sources (recruitment, performance, payroll).

• Managing data quality, accuracy, and consistency.

• Case Study: Integrating multi-source data for workforce diversity analysis.

Module 3: HR Metrics and Performance Measurement

• Key HR metrics: recruitment KPIs, retention rates, absenteeism, and training ROI.

• Calculating HR KPIs using DAX formulas.

• Analyzing performance and engagement data.

• Case Study: Developing KPIs to monitor employee engagement trends.

Module 4: Building HR Dashboards and Visual Reports

• Designing interactive and dynamic HR dashboards.

• Using filters, slicers, and visuals for better data storytelling.

• Customizing dashboards for different HR functions.

• Case Study: Creating a real-time HR performance monitoring dashboard.

Module 5: Workforce Planning and Predictive HR Analytics

• Forecasting workforce needs using Power BI trends and analytics.

• Predicting turnover, training needs, and performance outcomes.

• Using Power BI to support strategic workforce planning.

• Case Study: Predicting attrition to guide recruitment planning.

Module 6: Advanced DAX for HR Analytics

• Creating calculated measures and columns for HR KPIs.

• Time intelligence and cumulative analysis for HR reporting.

• Building complex analytical models.

• Case Study: Analyzing long-term employee performance trends.

Module 7: Integrating Power BI with HR Systems and Tools

• Connecting Power BI to HRIS, payroll, and performance systems.

• Automating HR data refresh and report updates.

• Security, permissions, and data sharing best practices.

• Case Study: Streamlining HR reporting through automated updates.

Module 8: Data Visualization Best Practices for HR

• Designing impactful visuals for storytelling.

• Choosing the right charts for HR insights (heatmaps, tree maps, KPIs).

• Avoiding common visualization errors in HR analytics.

• Case Study: Visualizing training ROI and learning outcomes.

Module 9: Strategic Application of HR Analytics

• Linking HR analytics to business objectives.

• Building executive-level HR reports and dashboards.

• Using data to support diversity, inclusion, and engagement strategies.

• Case Study: Driving HR transformation through data-driven insights.

Module 10: Capstone Project and Presentation

• Applying skills to build a complete HR analytics dashboard.

• Presenting findings and recommendations using data storytelling.

• Peer review and expert feedback on analytics solutions.

• Case Study: Delivering a strategic HR analytics presentation to leadership.