Course Objectives

  • Relate the importance of using data–based reasoning to support HR decisions.
  • Formulate decisions about human resource initiatives using data–based reasoning and analysis.
  • Identify the quantitative analyses suitable for the analysis of employee data.
  • Interpret statistical output involving HR data.
  • Develop recommendations for workforce planning (e.g., staffing needs) based on the results of a Analysis.


Human Resource Metrics and Analytics: Understanding HR indicators, metrics and data, Data collection– tracking, entry, assess IT requirements to meet HR needs, Relational databases and HR systems, The Role of Analytics in HR–A Brief History of the Evolution of Analytics – Importance of analytics in the HR Field – HR Analytics Defined –HR's Value Proposition


An Overview of HR Regulations and Reporting Requirements– HR Policies, Procedures, and Guidelines– Key Regulations and Reporting Requirements– Metrics, Benchmarks, and Other Indicators– Connecting Missions or Goals to HR Benchmarks and Metrics


Analytics Tools and Techniques for HR Professionals– Key Systems of Record for HR Data– Software Tools– Excel Quantitative Techniques– Excel Visualization– Excel Analytic techniques– Planning and implementing a new HRIS, Security and privacy considerations, Statistical analysis for HR (regression analysis, measures of central tendency) Graphs, tables, spreadsheets, data manipulation (using Excel), Benchmarking and best practices.


Using the Analytics Process Model– The Analytics Process Model and Its Phases– Applying the Analytics Process Model


Effectively Presenting HR Data– Effectively Presenting HR Data– Staffing, Supply and demand forecasting, total compensation analyses, Cost justification–return on investment, communicating recommendations.

Learning Resources

  • HR Analytics: Understanding Theories and Applications by Dipak Kumar Bhattacharyya
  • HR Analytics: The What, Why and How. by Tracey Smith 2013
  • Predictive Analytics for Human Resources (WILEY & SAS Business) Hardcover – 2014 by Jac Fitz–Enz (Author),‎John R. Mattox II (Author)

@ 2020 - 2021 Copyright, SRM Institute of Science and Technology (formerly known as SRM University), All Rights Reserved