Application Strategy of Big Data in College Student Association Activities

Abstract The era of big data brings together a wealth of rich information resources, bringing unprecedented innovation power, opportunities and possibilities to all walks of life, and promoting the development and evolution of the era. In the current development process of college student associations, to implement scientific and effective talent management, big data technology must be introduced to assist the management of student associations. Make full use of big data technology as the most basic strategic resource and effective means to transform the management of student associations from static and result-based management to dynamic and process-oriented. This article starts from the concept of big data, combines the definition and characteristics of college student associations, uses survey research methods, literature research methods, and comparative analysis methods, and issues a questionnaire on "Student Association Management and Association Activity Survey". A special investigation, analysis and sorting of the activities carried out were carried out. Among them, the efficiency of resource sharing in student club management is relatively low, accounting for 52.35%. The application strategies of big data are studied from the aspects of student club management system, club evaluation mechanism, student activity needs, community resource sharing and intercommunication.