Leveraging HR Data: Metrics, Analysis, And Analytics

Discover effective methods to drive change in your organization, the learners should have a strong understanding of the principles and practices of data-driven hr and be able to leverage hr metrics, analysis, and analytics to drive organisational performance and competitive advantage. It is an opportunity for you to utilize organizational change and boost your career. 

Given the current unpredictable business environment, HR leaders are now playing a crucial part in a significant shift in the industry. Companies are placing greater emphasis on talent management and recognizing the vital role of HR executives, who have never been more essential to the company’s success.

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• Program fees
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• Course descriptions
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Learning Outcomes

• Understand the role of technology and data management tools in HR analytics, such as HR information systems (HRIS) and data visualisation software.
• Evaluate the effectiveness of HR metrics in providing insights into workforce performance and informing business decisions.
• Understand the ethical considerations involved in HR analytics, such as protecting employee privacy and avoiding bias.
• Develop and implement an HR analytics strategy that aligns with an organisation’s business objectives and supports evidence-based decision-making.
• Identify and describe key HR metrics for measuring workforce performance, such as turnover rate, employee engagement, and time-to-hire.
• Analyse data using statistical and data analysis techniques to identify trends and patterns in HR metrics and develop actionable insights.
• Communicate insights and recommendations derived from HR analytics to key organisational stakeholders.
• Define and differentiate between HR metrics, analysis, and analytics.

Learn Without Limits

• Understand the role of technology and data management tools
• Identify and describe key HR metrics
• Evaluate the effectiveness of HR metrics
• Analyze data using statistical and data analysis techniques
• Understand the ethical considerations involved
• Communicate insights and recommendations derived
• Develop and implement an HR analytics strategy
• Define and differentiate between HR metrics, analysis, and analytics.

Day 1: 

• Introduction
• Overview of Human Capital Analytics
• What to measure (KPIs) and How to Collect Data

Day 2:

• Communicating and Presenting Findings
• Human Capital Maturity Level
• Conclusion
• Analysing Data and Interpreting Results.

Overall, learners should have a strong understanding of the principles and practices of data-driven HR and be able to leverage HR metrics, analysis, and analytics to drive organisational performance and competitive advantage.