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Development and Application of Big Data Marketing System for Tourism Enterprises Under Hadoop

In: INTERNET FINANCE AND DIGITAL ECONOMY Advances in Digital Economy and Data Analysis TechnologyThe 2nd International Conference on Internet Finance and Digital Economy, Kuala Lumpur, Malaysia, 19 – 21 August 2022

Author

Listed:
  • Li Tan

Abstract

As a pillar industry of the service industry, the tourism industry occupies an extremely important position in my country’s economic market. Nowadays, more and more enterprises are dominated by tourism services, and there is fierce competition among enterprises in the tourism industry. To occupy a place in the market, companies have established their marketing models to promote their brands, attract consumers and increase their popularity. However, the current marketing model in the tourism industry generally suffers from the lack of specific and phased planning, too many limitations, single means and channels, and a poor sense of proportion, which need to be solved. In this paper, by developing a big data marketing system for tourism enterprises based on Hadoop, we use big data and data mining tools to collect, analyze and extract effective tourism-related data and predict the future trend of tourism industry changes, help corporate marketing departments establish accurate tourism marketing Model, change the current marketing situation, improve the visibility of enterprises in the tourism industry, and make enterprises in the fierce tourism industry competition.

Suggested Citation

  • Li Tan, 2023. "Development and Application of Big Data Marketing System for Tourism Enterprises Under Hadoop," World Scientific Book Chapters, in: Faruk Balli (ed.), INTERNET FINANCE AND DIGITAL ECONOMY Advances in Digital Economy and Data Analysis TechnologyThe 2nd International Conference on Internet Finance and , chapter 54, pages 725-737, World Scientific Publishing Co. Pte. Ltd..
  • Handle: RePEc:wsi:wschap:9789811267505_0054
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    More about this item

    Keywords

    Internet Economy; Online Finance; Financial Engineering; Big Data; Blockchain; Supply Chain; E-commerce;
    All these keywords.

    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • G2 - Financial Economics - - Financial Institutions and Services

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