Leveraging People Analytics for Productivity and Workforce Optimization

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Authors: Dr. Janvi Rathi
Cited by: 1

Abstract

The increasing availability of workforce data and advancements in analytical tools have transformed human resource management from an intuition-driven function into a data-driven strategic discipline. People analytics has emerged as a critical approach for enhancing employee productivity and optimizing workforce performance by leveraging data, statistical analysis, and predictive modeling. This study examines the role of people analytics in supporting informed decision-making related to talent acquisition, performance management, employee engagement, and workforce planning. Using a conceptual and empirical perspective, the research explores how organizations utilize people analytics to identify productivity drivers, reduce inefficiencies, and align human capital strategies with organizational objectives. The study highlights the significance of integrating behavioral insights with analytical techniques to improve workforce outcomes while addressing ethical considerations such as data privacy and fairness. The findings suggest that effective implementation of people analytics contributes to improved operational efficiency, higher employee performance, and sustainable workforce optimization. The paper provides practical insights for HR professionals and managers seeking to leverage people analytics as a strategic tool for organizational competitiveness.

Fields of Study & Subjects

AI and HR Technologies Employer Branding and e-HRM Customer churn and segmentation

Publication details

Journal / source
International Journal for Research in Applied Science and Engineering Technology
Publisher
International Journal for Research in Applied Science and Engineering Technology
Volume
14
Issue
1
Pages
802–805
Publication date
16 January 2026