"LEVERAGING STRATEGIC HUMAN RESOURCE PRACTICES THROUGH ADVANCED BUSINESS ANALYTICS TO ENHANCE ORGANIZATIONAL EFFECTIVENESS: A CASE STUDY OF VARRON AUTOKAST LTD., NAGPUR"

Authors

  • Reena Bhagat, Smita Ukunde Author

Keywords:

Strategic HR Integration, Business Intelligence, Organizational Efficacy, Predictive HR Analytics, Talent Optimization, Performance Architecture, Human Capital Metrics, Workforce Analytics, Data-Driven Decision-Making, Sustainable Competitive Advantage

Abstract

The intricate interconnection between contemporary Human Resource (HR) practices and the strategic application of business analytics has surfaced as a critical determinant of enhanced organizational performance in the modern corporate paradigm. This study undertakes an in-depth investigation into the systematic integration of HR methodologies with advanced analytics to elevate both operational efficacy and data-informed strategic decision-making processes, with a focal analysis on Varron Autokast Ltd., Nagpur. Furthermore, it expands its scope to examine the influence of HR analytics and performance management frameworks on key organizational metrics at Wipro Limited, Pune. Utilizing a robust mixed-methods research design, the study meticulously explores the deployment of sophisticated analytics tools and algorithm-driven strategies in refining talent acquisition, optimizing workforce efficiency, and aligning human capital initiatives with overarching organizational imperatives. Emphasis is placed on the transformative potential of predictive analytics in identifying latent performance determinants, reinforcing employee engagement mechanisms, and facilitating anticipatory HR interventions. The research yields actionable insights and conceptual frameworks designed to operationalize HR analytics as a scalable, adaptive, and quantifiable mechanism for continuous process improvement. Ultimately, this study substantiates the positioning of HR analytics as a strategic enabler in cultivating a sustainable competitive edge amid an increasingly data-centric and volatile business environment.

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Published

2025-05-29

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Section

Articles