Introduction
HR Analytics involves the systematic application of data analysis to optimize organizational performance. By leveraging people-related data, HR professionals can make evidence-based decisions that drive operational success. This approach uses data gathered from various HR systems, business information systems, and external sources to provide valuable insights into workforce performance. At its core, HR Analytics helps organizations maximize the potential of their human capital, enhancing productivity, improving performance, and ensuring a competitive advantage.
Through HR Analytics, organizations can assess key metrics such as workforce well-being, productivity, innovation, and alignment with business goals. This data-driven approach also enables HR to demonstrate the impact of policies and initiatives on organizational outcomes, proving the return on investment (ROI) and social return on investment (SROI) of HR activities. With increasing demand from line managers for more effective team management, HR Analytics offers the tools to evaluate and enhance both individual and team performance.
Course Objectives
- Understand the importance of analytics in evaluating employee behavior and performance.
- Learn how to conduct in-depth analysis to assess HR strategies.
- Make data-driven decisions based on solid evidence rather than intuition.
- Comprehend the principles and methods of organizational change.
- Apply a range of assessment tools to drive organizational improvement.
Course Outline
Day 1: Introduction to HR Analytics, Strategy, and the Role of HR
- The importance of adopting an evidence-based approach in HR.
- Understanding the relationship between data, information, and insights.
- Introduction to analytics and predictive analytics.
- Differentiating between strategic HR and traditional personnel management.
- Exploring HR’s contribution to overall business strategy.
- Applying the Human Capital Approach to HR analytics.
Day 2: HR Analytical Tools and Techniques
- Understanding the distinction between quantitative and qualitative data.
- Frameworks for rational problem-solving and decision-making models.
- Key metrics for assessing HR effectiveness, efficiency, and impact.
- Methods for capturing data and benchmarking HR performance.
- Using employee self-assessments and self-reporting tools.
- The role of electronic workforce surveillance and data analytics in HR.
Day 3: Leading Organizational Change with HR Analytics
- Analyzing the cultural context and organizational environment.
- Identifying how changes in business, technology, and the external environment drive organizational shifts.
- Theories of organizational change and their practical application.
- Recognizing enablers and barriers to change.
- Understanding and addressing resistance to change.
- Strategies for successfully implementing strategic change initiatives.
Day 4: Applying HR Metrics and Analytics
- Utilizing the Balanced Scorecard as a tool for HR measurement.
- Human Resource Planning and its role in workforce optimization.
- Recruitment analytics for better hiring decisions.
- Succession planning and talent management through data-driven insights.
- Managing employee absences using predictive analytics.
- Conducting skills and training needs assessments through HR data.
Day 5: Using Metrics and Analytics to Enhance Employee Performance
- Enhancing performance management with analytics.
- Analyzing employee motivation and its link to performance.
- Strategies for improving employee engagement through data.
- Empowering employees with accountability frameworks.
- Wrapping up with action planning for the application of HR analytics.
Conclusion
This course provides HR professionals with the necessary skills to effectively use analytics to enhance organizational performance. By utilizing data-driven insights, participants will be equipped to make strategic decisions, implement change, and demonstrate the tangible impact of HR activities on business success. Participants will leave with a comprehensive understanding of how to leverage HR Analytics to optimize workforce performance and contribute to overall organizational goals.
starting date | ending date | duration | place |
---|---|---|---|
21 August, 2025 | 25 August, 2025 | 5 days | İstanbul |