MySQL data analysis and its application in E-commerce user behavior analysis

MySQL is a free open source database management system of Oracle Corporation. In enterprises, MySQL can manage all kinds of data in the operation of enterprises, instead of traditional manual operation to deal with enterprise related information, greatly improve the efficiency of enterprise information processing, greatly meet the information management needs of small, medium and large enterprises. Data analysis is a kind of behavior to turn the massive and unclear data into regular and effective data that can extract useful information. Data analysis not only provides descriptive analysis of data, but also predictive analysis and decision making solutions. Data analysis is of great value for both personal applications and commercial enterprises. In this paper, we use MySQL, Tableau, Excel software tools and AARRR model, funnel model and RFM model to analyze user activity, user retention rate, product conversion rate and user value of online shopping platform user behavior to summarize user behavior data and make rationalization suggestions for the platform. The research results of this paper have certain reference significance for enterprises to invest human and material resources reasonably and create greater sales profits in the future.