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Business Intelligence Driven by Big Data

In: Handbook of E-commerce in China

Author

Listed:
  • Jie Cao

    (Hefei University of Technology)

  • Xianjin Du

    (Hefei University of Technology)

Abstract

This part mainly introduces the related concepts, development history, and current situation of e-commerce big data. On this basis, it summarizes the research frontiers of e-commerce big data at home and abroad and the development trend of e-commerce big data. The research of e-commerce big data technology mainly focuses on three directions: big data knowledge acquisition and integration, big data decision analysis and modeling, and data security and privacy protection. The application research of e-commerce big data mainly focuses on the research of network behavior in e-commerce big data, market insight and marketing strategy under big data environment, enterprise network ecosystem and its collaborative symbiosis mechanism, and e-commerce big data business model innovation. The development trend of e-commerce industry mainly includes information classification, precision push, precision marketing, platform intelligence, whole process data security, comprehensive improvement of platform service level, etc. The new research methods will expand the existing theories and technical models and make more use of social networks, data mining, and other big data intelligent means to promote the development of e-commerce industry.

Suggested Citation

  • Jie Cao & Xianjin Du, 2025. "Business Intelligence Driven by Big Data," Springer Books, in: Zheng Qin & Qinghong Shuai (ed.), Handbook of E-commerce in China, chapter 29, pages 539-575, Springer.
    • Handle: RePEc:spr:sprchp:978-981-96-7629-3_29
    DOI: 10.1007/978-981-96-7629-3_29
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