ITM Web Conf.
Volume 26, 20192018 International Conference on Computer Science and Education Technology (CSET 2018)
|Number of page(s)||4|
|Section||Computer Science and Education Technology|
|Published online||04 February 2019|
A Study on the Development of Leisure Sports Industry of China’s Sichuan in the Age of Big Data
1 Sports Department, University of Electronic Science and Technology of China, 610054 Chengdu, Sichuan, P.R. China
2 Department of Physical Education, Chengdu Sports University, 610041 Chengdu, Sichuan, P.R. China
a Corresponding author: firstname.lastname@example.org
This paper mainly analyzes the development of leisure sports industry of Sichuan province in big data age in terms of opportunities, challenges, development trends and strategies. In this paper, based on the methods of documentary, interview, questionnaire and logic analysis, combing large data for broad influence and huge benefits of leisure sports industry, and then analyze its development trend and development strategy. The mega data age is expected to bring about favorable opportunities to leisure sports industry of Sichuan province, such as creating more value, contributing to the flexible distribution of resources and to the trend of new ways of thinking in the research on leisure sports industry. Both the application of mega data technology to and the research on the realm of leisure sports industry are faced with drastic challenges. From wide application, the processing mode, precise marketing and personnel training aspects analyzes the development trend of leisure sports industry in the era of big data. We should take corresponding counter-strategies, which include innovating leisure sports industry, implementing full application of mega data technology, increasing the supply of related professional talents, supporting the informatization of leisure sports industry and establishing a platform of information resource for leisure sports industry.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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