The Design And Implementation Of The Bank's Data Management System

Computer information technology develops rapidly today, the society has entered an era of information. To some extent,the financial industry especially the bank and information technology are inseparable. Information technology becomes the foundation of the banking industry and plays a core-competitiveness in the competition of it. The banking industry has various systems at present, such as customer information system, central processing platform system, deposit system, etc. There is no uniform technical standards and the rapid growth of the data makes a lot of challenges for the cost of the bank. Looking from the breadth, the application and analysis of the data is not just confined to a single business system. Now the people pay attention to the data which is comprehensive and across the business platform. So how to optimize the data storage capacity, improve the data's quality and implementation the data across business platform has become an important subject in the banking industry.The purpose of this paper is to establish a high quality of data management system of bank. On the basis of survey of bank, defining the functional requirements of the system. The whole structure and function module of the system are described in detail. The system obtained the data of each business subsystem by the way of data migration. In this paper we divide data migration into three steps, data extraction, data loading and data integration. During the process of migration, we use the data's makeup to add the missing data and abnormal data. Creating a authority identifier in the data table to ensure users operation rights of the data. Then using the rule engine to manage the data's quality, includes the integrity, correctness and effectiveness. Through the log module, record the user's operating status and system operation status.The system adopts B/S architecture and based on the MVC architecture. We use JAVA language to develop the system and choose Oracle as the database system. After the completion of the system, doing the functional test and compatibility test. Through the test results, the bank's data management system meets the design requirement. After the deployment of the system, users reflecting that the operation of the system is good. These results indicate that the system achieves the expected goal.