Review the challenges of using big data in the supply chain

Hadeel S. Obaid ()

Journal of Data Analytics, 2022, vol. 1, issue 1, 16-24

Abstract: The increasing growth of computer networks and Internet-based technologies, followed by the growth of data and information required by their users and consumers, has led to the emergence of new concepts in this field. Big data is one of these concepts that has been considered by researchers in various fields of business in recent years. When looking at it from the outside, it is fair to assume that the more data a company or organization has, the better, because the company in question will have a larger amount of data for mining, and as a result their data will be more accurate. However, this is not always the case, because learning how to effectively manage Big Data has become a very challenging task for many businesses around the world. Working with big data involves collecting data from information sources, exploring and analyzing them, modeling them based on the desired features, and providing data security measures. For this reason, this paper examines the challenges of working with big data and the big data revolution in general and big data mining in the business supply chain as fundamental business processes.

Keywords: Big Data; Big Data-Based Supply Chain; Big Data Analysis; Big Data Challenges; Data Based Supply Chain Challenges (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:bao:jdaisn:v:1:y:2022:i:1:p:16-24:id:3

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