In an increasingly data-driven world, the ability to use HR data effectively is critical. This workshop shows how HR teams can use analytics to make the right decisions in personnel development. By analyzing employee data, trends and patterns can be identified that help recruit, retain, and develop. Participants learn how to develop KPIs, use dashboards, and gain data-driven insights to increase the efficiency and effectiveness of their HR measures.

HR Analytics uses data and metrics to make well-founded decisions in personnel development. By analyzing employee data, companies can identify patterns, measure performance and derive targeted measures to promote employees and optimize HR strategies.

Benefits for you as a company:

• Optimizing personnel development through data-based decisions and precise talent analyses
• Increasing employee retention and satisfaction through individually tailored support measures
• Increasing HR efficiency through targeted planning and use of resources
• Improving long-term corporate strategy through in-depth insights from employee data
• Promoting transparency and objectivity in personnel decisions

1. Introduction to HR Analytics

• What is HR analytics? Definition and significance for modern HR departments
• The value of data-driven decisions in HR: How HR Analytics optimizes the entire personnel management process
• The connection between HR data and corporate strategy: How HR analytics can influence business results
• The role of HR analytics in human resource development and how it helps promote talent management

2. Key figures and metrics for HR analytics

• Key HR KPIs: Turnover rate, employee retention, engagement, performance, and diversity
• How to choose the right KPIs for people development
• Interpretation of HR data: From pure numerical understanding to clear recommendations for action
• Benchmarking and comparing HR data to analyze trends and pattern recognition

3. Data collection and management in HR Analytics

• The various sources of HR data: employee surveys, performance reviews, onboarding and offboarding processes
• Tools and technologies for collecting and managing HR data: HR software, databases, cloud-based platforms
• Data quality: Ensuring that the data collected is complete, accurate, and reliable
• Data protection and ethical responsibility when collecting HR data

4. Data analysis methods for HR

• Descriptive analytics: How to identify fundamental trends and patterns from HR data
• Diagnostic analytics: Why certain trends or issues arise and how to solve them
• Predictive analytics: The prediction of trends and future events such as fluctuations or talent gaps
• Prescriptive analytics: recommendations for action for HR decisions based on the data
• Using machine learning and AI for advanced analytics and pattern recognition

5. HR analytics for personnel development

• Identification of learning and development needs through data analysis
• How HR Analytics can help create individual development plans
• Analysis of training and continuing education measures: measuring effectiveness and ROI
• Predicting career development and talent by analyzing employee data
• The role of HR analytics in identifying and promoting leaders

6. Talent management and performance appraisal with HR Analytics

• How HR Analytics can improve and support the recruitment process: Data-driven recruiting and talent acquisition
• Analyzing employee performance: How to correctly interpret and use performance data
• Using analytics to identify high performers and talent
• The role of HR analytics in performance management: continuous feedback and targeted development opportunities
• Evaluation of employee feedback and engagement data to optimize the work environment

7. Predictive analytics in HR

• How to develop predictive models for employee turnover: Identifying risk employees
• Using predictive analytics to retain talent: Which employees are at risk of leaving the company?
• Predicting required skills and future talent gaps
• Scenario planning with HR data: Develop strategies to meet future challenges

8. HR analytics to promote diversity and inclusion

• Analyzing diversity data to promote an inclusive corporate culture
• Monitoring and measuring diversity in companies: gender, ethnicity, age groups and more
• How to use HR analytics to identify discrimination and take proactive action
• Optimizing recruiting and onboarding processes for greater diversity and equal opportunities

9. HR analytics and designing employee experience

• Analyzing employee satisfaction and engagement to improve employee experience
• How HR analytics helps create a positive work environment
• Identifying bottlenecks and challenges in employee experience and how to solve them
• Using HR analytics to improve the onboarding process and long-term employee retention

10. HR analytics tools and software

• The best tools for HR analytics: Workday, SAP SuccessFactors, Microsoft Power BI, Tableau, and more
• Integration of HR analytics into existing HR software and systems
• How to measure and continuously improve the effectiveness of HR analytics tools
• Choosing and Implementing HR Analytics Tools: Key Considerations and Best Practices

11. The future of HR analytics

• How HR Analytics will continue to develop: From pure data analyses to complete decision-making processes
• Using artificial intelligence and machine learning for deeper and more accurate analyses
• How companies can use HR analytics for strategic leadership and long-term success
• The role of HR analytics in transforming HR into a data-driven, strategic partner

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