Global supply chains are under pressure to become more sustainable while maintaining efficiency, resilience, and profitability. Big data analytics allow organizations to collect, process, and analyze data across sourcing, production, transportation, and distribution networks. By turning data into actionable insights, big data analytics help companies reduce waste, lower carbon emissions, optimize resource utilization, and improve transparency. As sustainability becomes imperative in both business and society, data-driven decision-making reshapes how global supply chains balance economic performance with environmental and social responsibility. Enhancing Sustainability in Global Supply Chains With Big Data Analytics explores the transformative role of big data analytics in global supply chain network sustainability. It examines how big data revolutionizes the ways organizations enhance resource efficiency, reduce environmental impact, and improve ethical sourcing practices. This book covers topics such as logistics, blockchain, and waste management, and is a useful resource for business owners, academicians, researchers, and data scientists.