The Role of Big Data in Supply Chain Improvement: A Discussion Paper
Abstract
Big data has emerged as a transformative force in supply chain management, enabling organizations to derive insights from large, diverse, and rapidly generated datasets. By applying advanced analytics to this information, supply chains can enhance forecasting, inventory control, logistics coordination, and risk mitigation. Key enabling technologies such as the Internet of Things, cloud computing, and artificial intelligence provide the infrastructure for improved visibility and decision-making. This paper discusses the role of big data in supply chain improvement, reviews relevant literature, and examines technological foundations alongside common applications. Challenges including data quality, integration complexity, security, and skill shortages are also addressed. Finally, the paper outlines future research directions and technological trends such as prescriptive analytics, digital twins, and sustainability-focused practices. The discussion highlights how big data can enable more efficient, adaptive, and resilient supply chains when both technical and organizational barriers are effectively managed.
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