A Review of Strategic Driving Decision-Making through Big Data and Business Analytics

Authors

  • Sadia Sharmin Department of Business Administration, International American University, 3440 Wilshire Blvd STE 1000, Los Angeles, CA 90010, United States
  • Rabeya Khatoon Department of Business Administration, International American University, 3440 Wilshire Blvd STE 1000, Los Angeles, CA 90010, United States
  • Mani Prabha Department of Business Administration, International American University, 3440 Wilshire Blvd STE 1000, Los Angeles, CA 90010, United States
  • Md Abdullah Al Mahmud Department of Business Administration, International American University, 3440 Wilshire Blvd STE 1000, Los Angeles, CA 90010, United States
  • Mia Md Tofayel Gonee Manik Department of Business Administration, Westcliff University, 17877 Von Karman Ave 4th Floor, Irvine, CA 92614, United States

DOI:

https://doi.org/10.47672/ejt.2453

Keywords:

Big Data, Big Data Analytics, Data Analytics, Strategic Marketing, Data-Driven Decision-Making

Abstract

Purpose: The paper's goal is to investigate how big data may be used in various domains to improve decision-making. In this article, we examine the use of big data to facilitate timely, informed decision-making that enhances business outcomes.

Materials and methods: To give a conceptual overview of the possible applications of big data in decision-making, the study conducts a literature analysis and analyses secondary data.

Findings: The notion of big data, its application in decision-making, and its competitive benefit for various businesses are all covered in this article. A methodology for handling data in decision-making is also covered in the article. In order for businesses to make better decisions and produce higher-quality information, the problem has to be addressed.

Implications to Theory, Practice and Policy:  The research will explore the potential of analytics in the continuous flow of high-speed, high-volume data production in various industries, offering special research opportunities in corporate, scientific, and governmental sectors in future.

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Published

2023-11-21

How to Cite

Sharmin, S., Khatoon, R., Prabha, M., Mahmud, M. A. A., & Manik, M. M. T. G. (2023). A Review of Strategic Driving Decision-Making through Big Data and Business Analytics. European Journal of Technology, 7(4), 24–37. https://doi.org/10.47672/ejt.2453

Issue

Vol. 7 No. 4 (2023): Vol 7 No 4 (2023)

Section

Articles

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Copyright (c) 2024 Sadia Sharmin, Rabeya Khatoon, Mani Prabha, Md Abdullah Al Mahmud, Mia Md Tofayel Gonee Manik

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Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution (CC-BY) 4.0 License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.