HR Analytics and Data-Driven Decision Making

• Understand the role of HR analytics in modern human resource management
• Learn to collect, analyze, and interpret HR data to make informed decisions
• Explore metrics, dashboards, and predictive analytics for workforce planning
• Develop skills to improve recruitment, performance management, and employee engagement through data

COURSE CONTENT

Introduction to HR Analytics

• Definition and importance of HR analytics
• Types of HR data and sources
• Trends in data-driven HR management
• Benefits of using analytics for strategic decision-making

Data Collection and Management

• Identifying relevant HR metrics and KPIs
• Gathering accurate and reliable data
• Data storage, security, and privacy considerations
• Ensuring data quality and integrity

Workforce Analytics and Reporting

• Analyzing employee performance, productivity, and turnover
• Monitoring recruitment and retention metrics
• Using dashboards and visualization tools
• Interpreting HR reports to support decision-making

Predictive and Prescriptive Analytics

• Forecasting workforce needs and trends
• Predicting employee performance and potential issues
• Using data to inform promotions, training, and succession planning
• Making proactive HR decisions based on insights

HR Metrics for Strategic Decision-Making

• Linking HR analytics to organizational goals
• Measuring employee engagement and satisfaction
• Evaluating training effectiveness and ROI
• Aligning HR strategies with business performance

Implementing a Data-Driven HR Culture

• Encouraging data literacy among HR professionals
• Integrating analytics into daily HR operations
• Continuous improvement using insights
• Driving organizational change through evidence-based HR decisions