JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD

22MBA26H6: HR ANALYTICS

MBA (R22)

Course Objectives:

  • To provide an overview of evolution of HRM and its journey towards Analytics and highlight the need, concepts and scope of HR Analytics linked with business outcomes.
  • To elucidate the methods of capturing, examining & purifying data and to introduce the aspect of HR Metrics in the context of HR Analytics.
  • To impart knowledge of conduction of HR Analytics for key HR Processes using MS Excel.
  • To provide an overview of various tools and software technologies used for conduction of Descriptive HR Analytics and Visualization of HR Data.
  • To provide a futuristic perspective of Predictive and Prescriptive HR Analytics.

Course Outcomes

The students will be able to

  • Gain an understanding of the relevance of HR Analytics in the current business scenario.
  • Have an understanding of the models of conducting HR Analytics and understanding of the methods of capturing, examining & purifying data for conduction of HR Analytics.
  • Use MS Excel for conduction of HR Analytics for key HR Processes
  • Have an overview of various tools and software technologies used for conduction of Descriptive HR Analytics and Visualization of HR Data.
  • Appreciate the significance of Predictive and Prescriptive Analytics.

UNIT - I: Introduction to HR Analytics

History of Different HRM Perspectives, Transition from HRM

to HCM and Gaining Sustainable Advantage through HCM. HR Analytics and Changing Role of HR Professionals. Importance and Scope of HR Analytics. Significance of HR Analytics, Benefits of HR Analytics. Levels of Analysis and Conducting analytics. Key Influencers of HR Analytics Process. Big Data Era in HR Analytics, HR Analytics – Linkage to Business Outcomes.

UNIT - II: Understanding HR Analytics

Conducting HR/Workforce Analytics: Models of HR

Analytics, How to Conduct HR Analytics. Understanding HR Data: Importance of Data, Types and Scales of Data; Methods of Capturing Data, Data Examination & Purification. Understanding various HR Metrics from the perspective of HR Analytics.

UNIT - III: Analytics for Key HR Processes Using MS Excel

HR Analytics for Recruitment &

Selection, Training & Development, Performance Appraisal, Talent Management, Employee Engagement, Compensation Management and Expatriate Management.

UNIT - IV: Descriptive Analytics

Overview of Select Tools for Conduction HR Analytics: MS Excel, R,

Tableau, Power BI, Python, SPSS & PSPP. Descriptive Analytics in HR: HR Dashboards using MS Excel, Slicing and Dicing of HR Data using MS Excel Pivot Table Applications, Data Visualization for Key HR processes.

UNIT - V: Predictive & Prescriptive HR Analytics

Predictive HR Analytics: Correlation, Linear and

Multiple Regression, Factor Analysis and Cluster Analysis, Comparison of Means and Analysis of Variance for Manpower Demographics, Employee Satisfaction, Training Effectiveness etc. Prescriptive HR Analytics, Predictive vs Prescriptive HR Analytics, Future of HR Analytics.

Suggested Readings:

  • Rama Shankar Yadav & Sunil Maheshwari, HR Analytics, Wiley, 2021.
  • Pratyush Banerjee, Jatin Pandey & Manish Gupta, HR Analytics: Practical Applications of HR Analytics, Sage, 2019.
  • Dipak Kumar Bhattacharya, HR Analytics, Sage, 2017.
  • Ramesh Soundrarajan & Kuldeep Singh, Winning on HR Analytics, Sage, 2017.
  • Nishant Uppal, Human Resource Analytics, Pearson, 2021.
  • Bharti Motwani, HR Analytics: Practical Approach Using Python, Wiley, 2021.  54 MBA ENTREPRENEURSHIP ELECTIVE

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