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This paper thoroughly explores the utilization of the six pivotal stages of big data—generation, acquisition, storage, analysis, visualization, and decision-making—in the context of Amazon's business strategy. It delves into how Amazon effectively employs big data to enhance its e-commerce business model. The discussion includes an in-depth examination of the various big data tools and machine learning algorithms that Amazon utilizes to analyze consumer behavior patterns and optimize inventory management solutions. Furthermore, the paper investigates the critical importance of big data software in the operational infrastructure of Amazon. It highlights how essential it is for sustaining a competitive edge and operational efficiency in the rapidly evolving, data-driven market landscape. This comprehensive analysis aims to provide a nuanced understanding of Amazon's approach to leveraging big data, demonstrating its impact on the e-commerce sector and underscoring the future implications of technological advancements on business models and market trends.
Big Data, E-commerce, data mining, Data analysis
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The Impact of Big Data on E-commerce: A Case Study of Amazon
How to cite this paper: Changhao Liu, Yu Zhang, Yuanbo Xu. (2024) The Impact of Big Data on E-commerce: A Case Study of Amazon. Advances in Computer and Communication, 5(1), 6-19.
DOI: http://dx.doi.org/10.26855/acc.2024.02.002