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Research on the Application of Big Data in the Sports Tourism Industry

  • Zheng Guan,
  • Chao-Chin Liu,
  • LiFang Zhang

摘要

This study discusses the application of big data in the sports tourism industry. Literature analysis as the main method, big data and the sports tourism industry as the focus of the research. Finally, the study draws conclusions and give suggestions, as follow: 1. The application about big state the sports tourism industry include six stages big data perception, big data acquisition and clearing, big data storage and management, big data processing, big data mining and big data application in the industry. Combined with the characteristics of big data processing information, it is more suitable for the application of customer management, product precision marketing, risk judgment and service optimization in the sports tourism industry. 2. It is suggested that (1) the sports tourism industry should actively collect and store diversified data on the habits of consumption behaviors of sports tourists; (2) carefully screen data related to the sports tourism industry; (3) gain a comprehensive understanding of the sports tourism market and customer needs; supporting companies in developing smart, actionable strategies. Therefore, the application of big data will help the sports tourism industry to dig deep into the internal laws of historical events, explore more innovative sports tourism business models, and promote the sustainable prosperity and progress of the sports tourism industry. Big data has a wide range of application prospects in customer management, product precision marketing, risk judgment and service optimization in the sports tourism industry.