THE ROLE OF DATA ANALYTICS IN DRIVING DECISION-MAKING AND OPERATIONAL EFFICIENCY IN BUSINESSES

Authors

  • Dr. Usman Tariq Department of Computer Science, National University of Sciences and Technology (NUST), Islamabad, Pakistan Author
  • Dr. Zainab Iqbal Institute of Business Administration (IBA), Karachi, Pakistan Author

DOI:

https://doi.org/10.71465/hjmri.324

Keywords:

Data Analytics, Decision-Making, Operational Efficiency, Predictive Analytics, Business Intelligence, Big Data, Competitive Advantage

Abstract

In today’s highly competitive business environment, data analytics has emerged as a transformative tool for organizations seeking to improve decision-making and enhance operational efficiency. By leveraging data to derive actionable insights, businesses can optimize processes, drive strategic decisions, and create value across various functions. This article explores the role of data analytics in business decision-making, focusing on its impact on operational efficiency, its integration into business processes, and the tools and techniques used for data analysis. Through the examination of key business applications such as predictive analytics, business intelligence (BI), and big data, this paper aims to demonstrate how companies can gain a competitive advantage by effectively utilizing data analytics. The study concludes by discussing emerging trends in data analytics and the future of data-driven decision-making.

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Published

2025-05-07

Issue

Vol. 5 No. 5 (2025): Holistic Journal of Multidisciplinary Research Innovation

Section

Articles

License

Copyright (c) 2025 Dr. Usman Tariq, Dr. Zainab Iqbal (Author)

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

All articles published in the Holistic Journal of Multidisciplinary Research Innovation are licensed under an open access model. Authors retain copyright of their work and grant the journal the right of first publication. The content may be freely used, distributed, and reproduced in any medium, provided the original work is properly cited and remains unaltered.