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Big Data Analytics applied to Logistics and Supply Chain Management: An Amazon Case Study.
Rel. Guido Perboli, Stefano Musso. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Gestionale (Engineering And Management), 2021
Abstract
The objective of this dissertation is to present the key benefits for companies deriving from the implementation of Big Data analytics as well as a data-driven approach to business. The thesis will be based both on theoretical knowledge – achieved through literature review – and practical experience, achieved during an internship in the Business Intelligence department of Amazon where Big Data analytics were deployed for the management of Supply Chain and Logistics. The work will be structured in three sections as follows: 1-?? An Overview of Big Data Analytics This section of the thesis aims at providing an overview of the definition and history of big data analytics.
Furthermore, it explores the technology and business drivers for implementing Big Data analytics within a company
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