大数据赋能体育用品制造业高质量发展:价值、阻碍因素与实践路径

Big Data Empowering High-Quality Development of Sports Goods Manufacturing Industry: Value, Obstacles and Practice Path

运用文献资料法、逻辑分析法等,阐释大数据的内涵、技术特征及在体育用品制造业的应用场景,分析大数据赋能体育用品制造业高质量发展的价值、阻碍因素与实践路径。大数据具有赋能体育用品制造业实现质量变革、效率变革及动力变革的价值。阻碍因素:体育场景数据设施薄弱,数据开放程度较低;专有大数据技术未成熟,大数据应用层次低;数据治理环节存在缺口,信息具有安全隐患等。大数据赋能体育用品制造业高质量发展实践路径:加强基础设施建设,提供发展的物质基础;推进技术交流共享,推动产业合作升级;坚持自主技术创新,推进产业创新发展;加强治理体系建设,减少数据安全隐患。

By using the methods of literature review and logical analysis, this paper explained the connotation, technical characteristics and application scenarios of big data in the sports goods manufacturing industry, and analyzed the value, obstacles and practical path of big data empowering the high-quality development of sports goods manufacturing industry. Big data has the value of enabling the sports goods manufacturing industry to achieve quality change, efficiency change and dynamic change. Obstacles: The sports scene data facilities are weak and the data openness degree is low, the proprietary big data technology is not mature and the application level of big data is not high, and there are gaps in data governance and hidden dangers in information security. The practice path of big data empowering the high-quality development of sports goods manufacturing industry: We should strengthen infrastructure construction to provide the material basis for development, promote technology exchange and sharing to promote industrial cooperation and upgrading, adhere to independent technological innovation to promote industrial innovation and development, and enhance the construction of governance system to reduce potential data security risks.