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Impact of Data Analytics on Sustainability in Apparel Supply Chain Management
Abstract
Over the past few decades, advancements in data analytics and artificial intelligence, particularly machine learning, have underscored the significance of data-driven applications. Retailers in the textile industry now leverage predictive software for operational decision-making. This chapter examines the manufacturing data analytics of retail businesses, introducing a scalable business intelligence framework based on a graph data model and its management system. It also emphasizes how big data technologies and tools, including the Internet of Things, facilitate the real-time capture, storage, processing, and sharing of data. This capability allows companies to make quicker and more effective operational decisions. To illustrate the analytical potential of the graph database model for business intelligence, the chapter presents an algorithm designed to extract insights from stored business data.
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