HR Analytics - Predictive Analytics for Employee Retention and Productivity in Chennai - Pre & Post Covid Period

Authors

  • T.H. Lajwanthi Assistant Professor, Department of Management, Hindustan College of Arts& Science, Chennai, Tamil Nadu, India
  • D. Uthira Principal, Hindustan College of Arts & Science, Chennai, Tamil Nadu, India
  • M. John Jacob Assistant Professor, Department of Management, Hindustan College of Arts & Science, Chennai, Tamil Nadu, India https://orcid.org/0009-0001-5783-6605

DOI:

https://doi.org/10.54741/MJAR/6.5.2026.332

Keywords:

hr analytics, information technology, retail e commerce, gig economy

Abstract

HR analytics, or people analytics, enables the measurement of employee performance metrics across the organisation. In the global scenario, human resource practices have changed to modern aspects by using technology to analyse the strategy and operational functions.  In Chennai, employee attrition has been consistently high in business process outsourcing (BPO/ITeS, Information Technology, Retail E Commerce/ Gig Economy around 60% in the Pre -Covid period. Due to a monotony work style, long time working hours, target achievement they switch over for better pay. Human Resource Analytics (HR Analytics) has emerged as a critical discipline that leverages data-driven insights to address these challenges. In the Post Covid period, all the sectors are faced major employee attrition rate exceed more than 25 % due to the transient nature of workforce and demand conditions even though Global capability centers providing high pay for professional skill employees. In this Articles highlights how HR analytics helps to retain the employees in their work place, at the same time Predictive measurement focus on upgrading technical skill in their career path.

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Published

2026-10-31
CITATION
DOI: 10.54741/MJAR/6.5.2026.332
Published: 2026-10-31

How to Cite

Lajwanthi, T., Uthira, D., & Jacob, M. J. (2026). HR Analytics - Predictive Analytics for Employee Retention and Productivity in Chennai - Pre & Post Covid Period. Management Journal for Advanced Research, 6(5), 1–6. https://doi.org/10.54741/MJAR/6.5.2026.332