The Role of Data Analytics in Reducing Supply Chain Disruptions

This study explores how data analytics can ease supply chain disruptions by emphasizing data-drivenstrategies to enhance resilience and efficiency. It delves into descriptive, predictive, and prescriptiveanalytics for spotting risks, forecasting disruptions, and optimizing processes. By examining real-life casestudies of leading companies, the paper highlights the tangible benefits of improved visibility andproactive decision-making. Practical recommendations are offered to guide organizations in harnessing thepower of data analytics, ensuring continuity and agility in supply chain operations, ultimately allowingbusinesses to thrive even in challenging times.