Syllabus
Course Code: HRM-304 Course Name: Specialisation- C: HRM - Human Resource Metrics and Analytics |
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MODULE NO / UNIT | COURSE SYLLABUS CONTENTS OF MODULE | NOTES |
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1 | Introduction to HR Analytics: Concept, Perspectives, Evolution. Need of HR Analytics, Changing HR Dynamics. Analytic Capabilities, Analytic Value Chain, Application of HR Analytics. HR Metrics; HR Scorecard; HR Benchmarking. Preparation for HR Analytics: Review existing HR Analytics Frameworks and HR Models, Identify the Purpose/Aims and Scope of Analytics, Devise Methodology for using it, preparing for an analytics Unit, Developing an Analytics Culture in business organizations. Pre-requisites of HR Analytics: Engaging with Stakeholders, Coaches, Technological Know-how, Build Analytics Team, Involvement of Consultant and Coaches. Developing HR Analytics Culture: Importance of Leadership; Overcoming Resistance to HR Analytics; Communicate with Storytelling and Visualization. Understanding HR Data: Data Quality, Data Types, Data Governance, Resolving Data Issues: Efficiency Measures, Effectiveness Measures and Business Outcome Measures. HR Analytics Execution & Reporting and determining the Key Performance Indicators; Optimization and Predictive Analytics; Interpreting the Results, Analysis for developing Insights: Use of Trend Analysis, Regression, Correlation, Benchmarking, Workforce Modeling, Structural Equation Modeling for predictive analysis. Future of HR Analytics: New Opportunities & Challenges, Emerging Data Sources, and Evolving Technology. |