Use and Applications of Data Analytics in Human Resource Management and Talent

Use and Applications of Data Analytics in Human Resource Management and Talent

Babli Pal, Department of Management, School of Business, Galgotias University
Dr.Pratima Sharma, Department of Management, School of Business, Galgotias University

Abstract

The integration of data analytics in Human Resource Management (HRM) and Talent Acquisition represents a fundamental shift from traditional HR practices to evidence-based strategies. In today’s competitive business environment, organizations are increasingly leveraging data to improve recruitment efficiency, employee engagement, and workforce planning. This research explores the core applications of analytics in HR, focusing on predictive hiring, sentiment analysis, and performance optimization. Through real-time data tracking and predictive modeling, HR professionals are now empowered to make more informed decisions. The abstract also highlights ethical considerations, such as data privacy and bias mitigation. The use of analytics not only enhances operational efficiency but also enables strategic alignment between workforce capabilities and business objectives. As industries evolve through digital transformation, the role of HR analytics becomes pivotal in driving agility, innovation, and employee satisfaction. The insights gathered reveal a strong correlation between data literacy and successful analytics adoption in HR departments. In conclusion, the study positions data analytics as a cornerstone for future-ready HR practices.