2025, Vol. 7, Issue 2, Part D

This study takes a close look at how Human Resource (HR) analytics is reshaping hiring practices in the manufacturing sector of NCR/Gurgaon. As more companies turn to data-driven strategies, HR analytics is proving to be a powerful tool not just for streamlining recruitment, but also for reducing employee turnover and improving workforce planning. By using predictive models, machine learning, and key performance indicators, HR teams are making smarter decisions about who to hire, how well candidates fit the role, and how to onboard them effectively.
The research explores the impact of HR analytics on hiring decisions, evaluates how well it improves recruitment outcomes, and uncovers the practical and technical challenges firms face during implementation. Insights were gathered from HR professionals at 60 manufacturing firms in NCR/Gurgaon between 2021 and 2023, using structured questionnaires and interviews. To analyze the data, the study applied statistical methods like regression analysis and ANOVA to understand how analytics adoption correlates with hiring efficiency.
The results show a clear and strong link between the use of HR analytics and better hiring performance. Companies that embraced analytics reported faster hiring cycles, stronger alignment between candidates and job roles, and higher offer acceptance rates. These firms also demonstrated better forecasting of talent needs and improved retention of new hires. The study wraps up with practical recommendations for manufacturing firms looking to expand their use of HR analytics and align it more closely with their broader business goals.