Design And Implementation Of Bank Business Analysis System Based On Cluster Analysis

With the development of China's economy and the progress of science,people's daily economic life has become more and more convenient,one by one new technology quickly integrated into it.For the banking sector,although it breeds significant business opportunities,it also brings greater challenges.Those fast iterative new financial products,financial services and even financial concepts are strong competitors in the traditional banking business field.For this reason,the banking sector itself must strengthen the construction of science and technology,which is a process of not to advance is to go back.The bank business analysis system based on cluster analysis in this paper is an attempt to apply big data technology.In the past,business analysis was based on intuitive data comparison analysis,but now it can not meet the needs of banks to improve the quality of development,so this paper introduces cluster analysis technology to tap the potential value in the data.This paper mainly does the following specific work:1)According to the needs of bank customer management,the data model for customer management information analysis is extracted and established,and the calculation index of the model is established.At the same time,the data collection scheme of each system in the bank is made according to the model,and finally the data is collected and processed by Kettle tool.2)According to the functional requirements of the system,the design and implementation of user management,data modification approval,ETL file management,data processing and data mining are completed.3)Finally,the introduced K-means algorithm is improved,the calculation method of the center point in the algorithm is modified,and the business data of a bank is tested.Compared with the original algorithm,the number of iteration calculations is reduced,but the data analysis results maintain the accuracy.This paper applies data mining cluster analysis technology to the management system of banks,helps banks to analyze and summarize the customer operation data more scientifically and comprehensively,meets the current needs of customer operation development in banking industry,and improves the rationality of banking business management.