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CRC Press Big Data Analytics in Supply Chain Management Book

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Description

In an era of rapid digitization, massive data streams from social media, financial transactions, and logistics processes are constantly being generated. Big Data Analytics in Supply Chain Management: Theory and Applications provides the necessary tools to turn this data into actionable insights and foresights. By applying analytical techniques, organizations can improve the quality, speed, and reliability of solutions to complex issues within supply chain operations. This book covers a wide range of topics, from Industry 4.0 procurement to sustainable consumption behavior. It serves as a comprehensive resource for understanding how big data applies to modern supply chains. Whether you are interested in curriculum development for data scientists or practical applications in production and logistics, this text offers the theories and techniques needed to navigate today's data-driven landscape.

Key Features

Explores analytical tools used to extract insights and foresights from massive data streams produced by digital processes.

Covers diverse applications including procurement in Industry 4.0 and sustainable consumption behavior.

Provides a wide array of techniques and theories specifically applied to supply chain management.

Addresses challenges in logistics and production by improving the speed and reliability of operational solutions.

Supports educational needs through content relevant to curriculum development for data scientists.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
21 December 2020
Listed Since
07 August 2020

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