HR Analytics and Data-Driven Decision Making for Managers is a comprehensive, five-day training course designed to equip professionals with the necessary skills and knowledge to leverage data and analytics in their HR decision-making processes.
This course, taking place in Rome, aims to provide participants with a deep understanding of the strategic value of HR analytics and how it can drive more effective and informed decision-making in their organizations.
Upon completion of HR Analytics and Data-Driven Decision Making for Managers, participants will be able to:
1. Understand the role of HR analytics in data-driven decision-making.
2. Develop and implement HR data and analytics strategies.
3. Use data visualization tools and techniques to effectively communicate insights.
4. Leverage HR analytics to enhance workforce planning and talent management.
5. Apply data-driven decision-making principles to address HR challenges and drive organizational performance.
The primary objectives of HR Analytics and Data-Driven Decision Making for Managers are to:
1. Provide a comprehensive understanding of HR analytics and its strategic value in organizations.
2. Develop practical skills and techniques for leveraging HR data to inform decision-making processes.
3. Equip participants with the tools necessary to drive organizational performance through data-driven HR strategies.
4. Offer insights into emerging trends and challenges in the field of HR analytics.
5. Create a network of professionals committed to embracing HR analytics and data-driven decision-making in their organizations.
Who Should Attend:
HR Analytics and Data-Driven Decision Making for Managers is ideal for:
1. HR professionals seeking to integrate data and analytics into their decision-making processes.
2. Managers and supervisors responsible for overseeing HR functions and making data-driven decisions.
3. Organizational development specialists focused on enhancing their HR analytics capabilities.
4. Business leaders and executives looking to leverage HR analytics for strategic planning.
5. Professionals aspiring to develop expertise in HR analytics and data-driven decision-making.
5-Day Course Outline:
Day 1: Introduction to HR Analytics and Data-Driven Decision Making
1. Overview of HR Analytics and Data-Driven Decision Making for Managers
2. The strategic value of HR analytics
3. Aligning HR analytics with organizational goals
4. The role of data in HR decision-making
5. Building an HR analytics team and infrastructure
Day 2: Data Collection and Management
1. Identifying relevant HR data sources
2. Data collection methods and best practices
3. Ensuring data quality and integrity
4. Data management and storage considerations
5. Data privacy and security in HR analytics
Day 3: Data Analysis and Visualization
1. Descriptive, diagnostic, predictive, and prescriptive analytics in HR
2. Basic statistical concepts for HR analytics
3. Data visualization tools and techniques
4. Communicating HR analytics insights to stakeholders
5. Developing data-driven HR dashboards and reports
Day 4: HR Analytics in Workforce Planning and Talent Management
1. Using HR analytics to inform workforce planning
2. Leveraging data in recruitment and selection processes
3. Enhancing employee engagement and retention through analytics
4. Optimizing performance management with data-driven insights
5. Informing succession planning and talent development with HR analytics
Day 5: Implementing Data-Driven Decision Making in HR
1. Overcoming barriers to data-driven decision-making in HR
2. Building a data-driven HR culture
3. Case studies: successful implementation of HR analytics
4. Navigating ethical considerations in HR analytics
5. HR Analytics and Data-Driven Decision Making for Managers – course wrap-up and action planning.
In conclusion, HR Analytics and Data-Driven Decision Making for Managers is an intensive, skill-building course that will empower participants to harness the power of data and analytics to drive more effective and informed HR decision.
- This course is available every Monday from 1 April to 30 Des 2023