Effective Communication in The Workplace & Professional Presentation Skills
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HR Analytics – Data Driven Improvement & Decision Making
This 2-day workshop empowers HR professionals to leverage data analytics for strategic decision-making and improved organizational performance. Learn to analyze HR data, develop strategic insights, and apply data-driven approaches to enhance HR functions.
- Date
- 18 - 19 Nov 2026
- Venue
- Petaling Jaya
- Programme Fee
- RM2,800 excl. SST
HRD Corp Claimable
Overview
The program is built on the Analytics Maturity Ladder: moving participants deliberately from Descriptive thinking (what happened) through Diagnostic (why it happened) and Predictive (what will happen) to Prescriptive (what the organisation should do). This progression runs through all six modules as both a framework and a lived experience. At each level, participants also ask a fifth question: where could AI help me get here faster and where must I not let it replace my own judgement. Microsoft Excel remains the core analytical tool throughout, with complexity increasing progressively across modules. Everyday AI tools (such as ChatGPT or Microsoft Copilot) are introduced alongside Excel in selected exercises, used specifically for interpretation, drafting, and communication, not as a replacement for the analysis itself. The program is designed for a mixed-experience audience: participants with foundational Excel skills will build applied confidence, while those who are more proficient will be stretched by the interpretation and storytelling demands of Day 2.
Programme Outline
Day 1: Workforce Analytics, AI & Strategic HR Insights
- Mindset: Thinking Like an Analyst (and Working with AI)
- Workforce Demographics and Payroll Analytics
- Attrition and Retention Analytics
Day 2: HR Decision Analytics, Data Storytelling & AI-Powered Reporting
- Recruitment Analytics
- Performance Data Analytics
- Data Storytelling and AI-Assisted Dashboards
Learning Objectives & Outcomes
- Apply the Analytics Maturity Ladder to progress from descriptive to prescriptive thinking across core HR data domains
- Assess HR data quality and identify integrity issues before conducting any analysis
- Analyse workforce demographics and payroll data to surface equity gaps and compensation anomalies
- Calculate and interpret attrition metrics to identify retention risks and build a financial business case for action
- Evaluate recruitment funnel performance and source effectiveness to improve hiring decisions
- Conduct performance distribution analysis to identify bias and grade inflation patterns
- Construct a clear HR data narrative using the Context → Insight →Implication → Recommendation structure
- Use AI tools appropriately within an HR analytics workflow to accelerate drafting and interpretation while independently verifying every AI-generated claim against the source data
Who Should Attend
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