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Introduction

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E-Commerce Big Data Mining and Analytics

Part of the book series: Advanced Studies in E-Commerce ((ASEC))

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Abstract

Business intelligence is a collection of software, technologies, and methods to discover valuable laws and patterns from data, transform data into knowledge, and support enterprises’ decision making, marketing, and services (Chen et al. in Principles and methods of business intelligence, 2nd edn. Electronics Industry Press, Beijing, 2014 [1]). With the rapid development of big data, e-commerce is gradually transitioning to the era of big data, i.e., the new generation of e-commerce. According to eMarketer, a leading global market research firm, global e-commerce sales will be $4.938 trillion in 2021, and according to its forecast predicts that global e-commerce sales will reach $5.542 trillion in 2022, accounting for more than one-fifth of total retail sales. Such rapid growth brings broad prospects for the development of a new generation of e-commerce industry, which means a strong market and broad user demand.

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  1. Hefei University of Technology, Hefei, Anhui, China

    Jie Cao

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Cao, J. (2023). Introduction. In: E-Commerce Big Data Mining and Analytics. Advanced Studies in E-Commerce. Springer, Singapore. https://doi.org/10.1007/978-981-99-3588-8_1

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