Research on User Behavior Analysis Model of Financial Industry in Big Data Environment

Along with the age of the Internet the rapid development of diversified business model and market segments, facing high customer cost and the double challenges of high turnover rate, a third-party service access to statistical data insecurity, buried point higher cost problems, be badly in need of precise positioning for guest channels, fine operation, and through the study of the statistics, analysis of these data, we may discover the laws of users to use the product, and the law and website marketing strategy, product features, operation strategy, the combination of optimization of user experience, to achieve more accurate operation and marketing, make products better growth. Based on the buried point and the mobile network environment detection tool based on the client SDK technology, this paper will provide the visual statistical effect through the analysis of the user behavior module, with simple operation and accurate data. Based on Eclipse, Hadoop, Spark and other technologies, the user behavior analysis platform is established to meet users' needs for data security and accuracy.