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Paper ID:IJSREM64044

“Evaluating the Role of Data Analytics in Improving Recruitment Efficiency and Retaining Talent in Naidu hall Retail Stores at Express Avenue Mall”

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM64044

Volume:

10 |

5 |

May 2026

Pages:

1-8

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM64044

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

Kanishka Balaji

Kanishka Balaji

Master of business administration

Rathinam technical campus

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Mentors

AAE

Arul Arobana Esthar.D

Master of business administration

Rathinam technical campus

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Abstract

Human Resource Analytics has become a strategic tool for organizations seeking to improve recruitment quality, reduce hiring delays, and retain skilled employees. This study evaluates the role of data analytics in improving recruitment efficiency and retaining talent in Naidu Hall, a South Indian retail apparel organization. The research adopts a descriptive design and uses primary data collected from employees through a structured questionnaire, supported by secondary data from books, journals, company information, and HR analytics literature. The study focuses on recruitment process satisfaction, HR analytics adoption, employee engagement, training effectiveness, work-life balance, retention intention, and workforce stability. The findings reveal that employees perceive HR analytics as a useful mechanism for improving hiring accuracy, reducing recruitment time, enhancing workforce planning, and strengthening retention strategies. Respondents also identify work environment, career growth, recognition, management support, training, and work-life balance as key retention drivers. The study concludes that data-driven HR practices positively influence recruitment efficiency and employee retention by enabling evidence-based decision-making, early identification of turnover risks, and improved employee experience. The article contributes practical recommendations for retail organizations to integrate HR dashboards, predictive analytics, employee feedback systems, and structured retention metrics into HR decision-making.

KEYWORDS

Keywords: HR analytics; recruitment efficiency; talent retention; employee engagement; retail apparel industry; workforce planning; Naidu Hall

Cite This Article

Kanishka Balaji, Arul Arobana Esthar.D, "“Evaluating the Role of Data Analytics in Improving Recruitment Efficiency and Retaining Talent in Naidu hall Retail Stores at Express Avenue Mall”," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 5, pp. 1-8, May 2026. https://doi.org/10.55041/IJSREM64044

Full Article/Conclusion

The study concludes that data analytics plays a significant role in improving recruitment efficiency and retaining talent in Naidu Hall. HR analytics supports faster recruitment, better candidate selection, improved hiring quality, reduced recruitment bias, and stronger workforce planning. The findings also show that employee satisfaction, engagement, training, career growth, recognition, work environment, and work-life balance are important drivers of retention. The declining attrition pattern and positive employee perceptions indicate that analytics-supported HR practices can strengthen workforce stability in the retail apparel sector. Overall, the effective use of HR analytics can help Naidu Hall improve recruitment systems, retain skilled employees, enhance organizational productivity, and achieve sustainable growth in a competitive business environment.

References

Bassi, L. (2011). Raging debates in HR analytics.   Cascio, W. F., & Boudreau, J. W. (2019). Investing in People: Financial Impact of Human Resource Initiatives. FT Press. Davenport, T., Harris, J., & Shapiro, J. (2010). Competing on talent analytics. Harvard Business Review. Dessler, G. (2021). Human Resource Management. Pearson Education. Fitz-enz, J. (2014). Predictive Analytics for Human Resources. Kapoor, B., & Sherif, J. (2012). Human resources analytics: The next generation of HR metrics and analytics. Kotler, P. (2020). Marketing Management. Pearson Education. Levenson, A. (2013). Analytics for strategic HR management. Marler, J., & Boudreau, J. (2017). An evidence-based review of HR analytics.   Marr, B. (2021). Data Strategy: How to Profit from a World of Big Data. Kogan Page.   Rasmussen, T., & Ulrich, D. (2015). Learning from practice: How HR analytics avoids being a management fad. Sharma, A., & Sharma, T. (2017). HR analytics and performance management system. Singh, R., & Jain, P. (2019). Role of HR analytics in retail industry. Ulrich, D. (2020). Human Resource Champions. Harvard Business Review Press.   Wilson, B., & Oliveira, F. (2024). Predictive Modeling for Prospect Velocity in Engagement Platforms. International Journal of Data Analytics and Business Intelligence, 8(2), 115-128.

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Publication Date

5/26/2026

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Double-Blind Peer Review

Review Rounds: 2

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