Leveraging HR Data: Metrics, Analysis, and Analytics

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Duration

2 days on a weekend

Programme Fee

Registration Fee : MYR50.00
Total Certification fee : MYR1400.00

Faculty

Micro-Credential IUKL & ETSA

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of our students rated us 4 star and higher for our course relevance with their job scope

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

Discover effective methods to drive change in your organisation, 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 utilise organisational change and boost your career.

Learning Outcomes

Define and differentiate between HR metrics, analysis, and analytics.

Identify and describe key HR metrics for measuring workforce performance, such as turnover rate, employee engagement, and time-to-hire.

Evaluate the effectiveness of HR metrics in providing insights into workforce performance and informing business decisions.

Analyze data using statistical and data analysis techniques to identify trends and patterns in HR metrics and develop actionable insights.

Understand the role of technology and data management tools in HR analytics, such as HR information systems (HRIS) and data visualisation software.

Develop and implement an HR analytics strategy that aligns with an organisation's business objectives and supports evidence-based decision-making.

Understand the ethical considerations involved in HR analytics, such as protecting employee privacy and avoiding bias.

Communicate insights and recommendations derived from HR analytics to key organisational stakeholders.

Description

2 Day Course:
Day 1: 
  • Introduction
  • Overview of Human Capital Analytics
  • What to measure (KPIs) and How to Collect Data
  • Analysing Data and Interpreting Results.
Day 2: 
  • Communicating and Presenting Findings
  • Human Capital Maturity Level
  • Conclusion
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.