Credit Card Business Statistical Analysis System Based On B/S Design And Implementation

In recent years,debit(and credit)card business in China enters a high-speed development period,however,with the business growth,each bank are beginning to face the same problems:statistical data analysis work is seriously lagging behind,and to judge the business risk is difficult.To solve these problems,this paper takes data warehouse and data mining technology as the research field,takes risk analysis as the main aim,based on Bank A's system to build the statistical analysis system in order to adapt to the credit card business development.Risk analysis is a key point in this study.Data mining technology's classification and relational analysis methodology are used in this paper to build the date model for risk judge,warning and management.After studying the Beth theorem deeply,risk classification model for cardholder and the merchant is established according to Bias classification method,which provides a large amount of risk criterion setting and takes a great deal of transaction data in bank's data warehouse as sample and classification criteria of risk level is gotten.Cardholder and the merchant's probability decision of risk level can be judged accurately through model so as to feedback risk scale timely and accurately,position risk point rapidly,which will help managers and decision-makers to make reasonable decisions in order to avoid risks.Besides these risk control context,this paper also deals with date statistics including customer relationship management and marketing and business operation analysis.B/S multi-structure,database technology,selected conditions,table structure design and JAVA are use to achieve these functions.This paper aims at debit card business risk controlling,researches date warehouse and the application of date mining technology,and accomplishes the system development and testing using nowadays mainstream implementation tool.At present,the system has put into production and helped Bank A improve the quality and speed of debit card business.This paper's biggest harvest is to use theory to guide practice application.