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Application of Real-Time Multimodal Data Analysis for Marketing

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Application of Intelligent Systems in Multi-modal Information Analytics (ICMMIA 2022)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 136))

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Abstract

All kinds of data and information are related to the development of marketing in our country, and affect the development speed, growth scale and development plan of marketing in our country. To optimize the marketing development strategy in time through market feedback is conducive to the adjustment of marketing development structure and the sustainable development of marketing in China. This paper briefly analyzes the impact of marketing from the perspective of big data and big data analysis cycle, starting with saving time and changing the nature of marketing, Fine market differentiation, Big data analysis and many changes in marketing Finally, big data analysis proposes the application of marketing strategies to help Chinese marketing better formulate marketing strategies according to market changes, to take a leading position in Chinese marketing competition.

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Author information

Authors and Affiliations

  1. School of Management, Changchun Institute of Technology, Changchun, 130021, Jilin, China

    Huiguang Zhou

Authors
  1. Huiguang Zhou
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Corresponding author

Correspondence to Huiguang Zhou .

Editor information

Editors and Affiliations

  1. School of Business Administration, Oakland University, Rochester, MI, USA

    Vijayan Sugumaran

  2. Amrita School of Engineering, Chennai, Tamil Nadu, India

    A. G. Sreedevi

  3. Shanghai Polytechnic University, Shanghai, China

    Zheng Xu

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Zhou, H. (2022). Application of Real-Time Multimodal Data Analysis for Marketing. In: Sugumaran, V., Sreedevi, A.G., Xu, Z. (eds) Application of Intelligent Systems in Multi-modal Information Analytics. ICMMIA 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 136. Springer, Cham. https://doi.org/10.1007/978-3-031-05237-8_32

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