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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM49183
Volume:
9 |
5 |
May 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
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.
Big data analytics (BDA) has become a potent tool for facilitating both operational and strategic business choices in the era of digital transformation. This study investigates how BDA transforms large, intricate datasets into useful insights, changing the face of decision-making. In addition to providing real-world case studies from a variety of industries, including manufacturing, logistics, and energy, it describes the theoretical underpinnings of data-driven strategies. The results indicate that businesses using BDA make decisions more quickly, accurately, and effectively. Nonetheless, issues with talent, integration, and data quality continue to exist. Recommendations for optimising BDA benefits and encouraging a data-driven culture in modern businesses are included in the study’s conclusion.
KEYWORDS
Publication Date
5/30/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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