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© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM32736

Improving Business Decisions with Data Analytics

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM32736

Volume:

8 |

7 |

Jul 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM32736

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.

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Authors

SK

Shivam Kumar

RR

Ranjul Rastogi

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Abstract

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

Case Studies Data Quality Data Visualization Big Data Processing Data Analytics Predictive Modeling Data Analytics for Businesses Data Privacy Data Governance Strategic Imperative and Competitive Advantage.

Cite This Article

Shivam Kumar, Ranjul Rastogi, "Improving Business Decisions with Data Analytics," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 7, Jul 2024. https://doi.org/10.55041/IJSREM32736

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Publication Date

7/17/2024

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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