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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM32736
Volume:
8 |
7 |
Jul 2024
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.
In today’s fast-paced, highly-connected business environment, organizations must be able to utilize the huge amounts of data produced daily if they want to survive and prosper. This study delves at the ways data analytics has revolutionized decision-making for businesses across many industries. It explores the methods, techniques, and tactics of data analytics, illuminating how they have the potential to transform specific sectors. Beginning with descriptive analytics and progressing to more advanced types of predictive and prescriptive analytics, the abstract lays forth the fundamentals of data analytics. It stresses the need of extracting valuable insights from complex data utilizing cutting-edge technology such as big data processing, AI, and machine learning.
KEYWORDS
Publication Date
7/17/2024
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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