Big Data Analytics in Supply Chain Management

In today's competitive environment, advancements in information technology, rising customer expectations, economic globalization, and other modern competitive priorities have compelled organizations to adapt. Consequently, the competition has shifted from being solely among companies to now encompassing competition among companies and their supply chains. Within the current competitive landscape, professionals in the supply chain face challenges in managing massive volumes of data to achieve an integrated, efficient, effective, and agile supply chain. As a result, the explosive growth in both volume and types of data throughout the supply chain has necessitated the development of technologies capable of intelligently and rapidly analyzing substantial data volumes. The capability of Big Data Analytics (BDA) stands out as one of the most effective techniques to help organizations overcome this challenge. BDA provides a tool for extracting valuable patterns and information within extensive datasets. Thus, the objective of this article is to explore the application of BDA in supply chain management (SCM).