Learning Outcomes:
On successful completion of the module, students should be able to:
• Explain the core concepts of people analytics and its maturity, from basic metrics and KPIs, to predictive analytics and generative artificial intelligence.
• Understand the importance of people analytics and its alignment to developing HRM strategies linked to organizational goals.
• Identify various data sources within HRM and evaluate the quality, reliability, and relevance of the data for analysis.
• Critically analyze the ethical considerations and privacy concerns related to the collection and use of employee data in people analytics.
• Apply people analytics theoretical concepts and frameworks to make evidence-based decisions to effectively address a broad range of HRM challenges.
• Understand the various methodologies and techniques available to translate workforce data into actionable insights.
Indicative Module Content:
1. Introduction to People Analytics and Evidence Based Management
2. Designing and Implementing People Analytics Projects
3. Applying People Analytics for HRM Strategy
4. Building Effective People Analytics Capabilities and Future of People Analytics