Firms from all industries operate within complex global supply chains since today's business activities are fragmented among many dispersed partners. These supply chains are fragile and exposed to various risks and threats, requiring advanced risk management and resilience competencies. Data is the lifeblood of a supply chain. Digitization and analytics are vital in monitoring real-time data, predicting future patterns, and quickly responding to unforeseen events. Supply chain analytics can help companies adapt in real-time to shifting customer demand caused by disruptions. Analytics can drive significant operational efficiencies by providing visibility into supply chains. Supply chain analytics collects, analyzes, and synthesizes data to provide insights into supply chain performance. Supply chain managers must use data and analytics to transform their supply chain into a robust and resilient supply chain and create more opportunities to remain competitive and diversified. Future supply chain managers should be digitally savvy. They will be storytellers with the skills to dig into the countless layers of supply chain data to transform data into insight and make informed decisions. The principal objective of Supply Chain Analytics is to provide state-of-the-art information for academic researchers, policymakers, and practitioners concerned with developing new methodologies and technologies to formulate and solve supply chain problems.