ISBN - 978-93-5480-535-6
Authors - Mrs. Deepti Hariramani , Mrs. Ankita Gaur
Syllabus
M-433: Human Resource Analytics
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SECTION A
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Unit
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Course Description
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Sessions
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Unit I |
Introduction to HR Analytics: Concept and Definitions of Analytics, Importance and Significance of Human Resource Analytics, Benefits of HR Analytics, Evolution of HR Analytics, Application of HR and Predictive Analytics, LAMP framework of HR Analytics. |
4 |
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Unit II |
HR Business Process and HR Analytics: HR Research Tools and Techniques, Data Analysis for Human Resources, Parametric and Non-parametric Tests. |
2 |
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Unit III |
HR Information Systems and Data Sources: Introduction to HRIS, HRIS for HR Decision-making, HR Data and Data Quality, HR Data Collection, Transforming HR Data into HR Information, Process of Data collection for HR Analytics, HR Reporting, Data Visualization, Performing Root Cause Analysis. |
4 |
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Unit IV |
Predictive Analytics: Introduction, Different Phases of HR Analytics or HR Predictive Modelling, Data and Information for HR Predictive Analysis, Software Solutions, Predictive Analytics Tools and Techniques. |
3 |
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Unit V |
HR Metrics: Recruitment Metrics, Metrics for Training and Development Function, HR Analytics as a Better Tool for HR Decisions, Compelling Reasons for HR Analytics, HR Dashboards. |
4 |
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Unit VI |
HR Scorecard: Linking HR Data to Operational Performance, Creating HR Scorecard, Developing HR Measurement System, Guidelines for Implementing |
2 |
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Unit VII |
Value Proposition and HR Decisions: Introduction to Value Proposition and HR Decisions, Sustainability in HR Decisions, HR Analytics and HR Value Propositions, HR Optimization through HR Analytics; HR Forecasting, HR Plan and HR Analytics. |
3 |
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Unit VIII |
HR Analytics for Future: Understanding Future Human Resources, Generic Future HR Skill Sets and Knowledge, Ethical Issues in HR Analytics, HR Analytics and Empowerment of HR Function. |
2 |
Specific References
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ISBN - 978-93-5480-535-6
Authors - Mrs. Deepti Hariramani , Mrs. Ankita Gaur
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