• Morning:
o The Evolution of HR: From Traditional to Digital
o Digital HR Trends: AI, Machine Learning, Automation, Big Data
o Building a Data-Driven HR Culture
• Afternoon:
o Introduction to HR Analytics: Key Metrics, Data Sources, and Dashboards
o Data Privacy and Security in HR: Compliance and Ethical Considerations
• Morning:
o Human Resource Management Systems (HRMS): Features, Benefits, and Selection Criteria
o Applicant Tracking Systems (ATS): Sourcing, Screening, and Onboarding
o Learning Management Systems (LMS): Training Delivery, Tracking, and Performance Management
• Afternoon:
o Hands-on Exercise: Exploring HRMS Features and Functionality
o Vendor Selection and Implementation: Best Practices for Choosing and Implementing HR Technology
• Morning:
o Workforce Analytics: Analyzing Employee Turnover, Productivity, and Engagement
o Recruitment Analytics: Measuring Recruitment Effectiveness and Improving Time-to-Hire
o Performance Analytics: Tracking Employee Performance, Identifying High-Potential Talent
• Afternoon:
o Compensation and Benefits Analytics: Analyzing Compensation Data, Benchmarking, and Cost Control
o Talent Management Analytics: Forecasting Talent Needs, Succession Planning, and Development
• Morning:
o Artificial Intelligence (AI) in HR: Chatbots, AI-powered Recruitment, Predictive Analytics
o Machine Learning for HR: Employee Segmentation, Risk Prediction, Performance Forecasting
o Robotic Process Automation (RPA): Automating Repetitive HR Tasks
• Afternoon:
o Hands-on Exercise: Using AI-powered Tools for Recruitment and Talent Management
o Exploring Emerging Technologies: Blockchain, Metaverse, and the Future of Work
• Morning:
o Developing a Digital HR Roadmap: Aligning Technology with Business Goals
o Change Management and Adoption: Overcoming Resistance to Change and Driving Technology Adoption
o Building a Data-Driven HR Culture: Fostering Data Literacy and Collaboration
• Afternoon:
o Case Studies: Success Stories in Digital HR Transformation
o Q&A and Wrap-up Session