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

Author

Listed:
  • Sadia Sharmin
  • Rabeya Khatoon
  • Mani Prabha
  • Md Abdullah Al Mahmud
  • Mia Md Tofayel Gonee Manik

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.

Suggested Citation

  • Sadia Sharmin & Rabeya Khatoon & Mani Prabha & Md Abdullah Al Mahmud & Mia Md Tofayel Gonee Manik, 2023. "A Review of Strategic Driving Decision-Making through Big Data and Business Analytics," European Journal of Technology, AJPO Journals Limited, vol. 7(4), pages 24-37.
    • Handle: RePEc:bfy:ojtejt:v:7:y:2023:i:4:p:24-37:id:2453
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    File URL: https://ajpojournals.org/journals/index.php/EJT/article/view/2453/3248
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