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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/IJSREM25934

Leveraging Analytics and Big Data for Informed Decision-Making: A Comprehensive Review

Stream/Area:

-

Subject:

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Paper ID:

10.55041/IJSREM25934

Volume:

7 |

10 |

Oct 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

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Not assigned

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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NG

Nimish Goel

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Abstract

The advent of Big Data and advanced analytics technologies has revolutionized the way organizations collect, process, and utilize data to drive decision-making. This research paper provides a comprehensive review of the role of analytics and Big Data in contemporary business, highlighting their significance, applications, challenges, and future prospects. By examining various case studies and industry examples, we aim to illustrate how organizations across different sectors harness the power of analytics and Big Data to gain competitive advantages and address complex challenges. The paper also discusses the ethical and privacy considerations associated with the utilization of large-scale data analytics.

KEYWORDS

Big Data Analytics Decision-Making Data Privacy Data Warehousing Business Intelligence Predictive Analytics.

Cite This Article

Nimish Goel, "Leveraging Analytics and Big Data for Informed Decision-Making: A Comprehensive Review," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 10, Oct 2023. https://doi.org/10.55041/IJSREM25934

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11/9/2023

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

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