Design And Implementation Of Business Data Mining And Information Processing System Of Rural Credit Cooperatives

Rural credit cooperatives business data mining and information processing system is developed based on the platform of EOS which is the production of Primeton, used for the management of rural credit cooperatives in data collection and processing, report generation, data acquisition, providing fast and intuitive statements for management personnel, it can greatly improves the promptness and accuracy of statistical and analysis of the data for the management, and providing reliable and promptly information for management of rural credit cooperatives.The information technology is changing rapidly, the process of Urbanization speeds up, the rural financial market is also getting flourishing. Rural credit cooperatives also have developed rapidly in this process, and it also constantly introduces new financial products, such as:mobile banking, online banking, telephone POS, etc. These diverse products make the statistical work become heavier and more complicate than before. Because of the absence of specific tools, when management departments want to statistical data, they need to issue a document to request the outlets to report the data, then the outlets use paper documents or Email to report the data, management departments gather the data and then put them into statistical analysis. This process is time consuming and the format of the reported data is not the same, Management needs to manually aggregate statistics on data, due to the lack of effective tools to doing work in this area, that process is time-consuming and error-prone. Timeliness and accuracy of data can be greatly improved by using the rural credit cooperatives business mining and information processing system in obtaining operating data for the management department. It is not only improved the management efficiency, but also reduce the work pressure of outlets.Rural credit cooperatives business data mining and information processing system process the original business data and get the chart and data which can effectively reflect the business situation, that provide accurate and timely business data for managers. The system is divided into four parts:user management, report management, data acquisition configuration management and automatic data processing. User management part is to meet the data confidentiality requirements, users can only view the data which has been configured visible by administrator; Report management provides report in two ways:online query and download to file, managers can modify the report data or configure the report’s visibility;Publishing data acquisition task can be found in data acquisition configuration management part, in this part managers can add, delete or modify the configuration data acquisition task; Data from other systems can be processed by batch in automatic data processing part, these data are format fixed text, the system automatic process the data every day to facilitate the administrator query.The system uses B/S architecture, based on J2EE, the platform for development is EOS6which is service oriented launched by Primeton company. Because of the hierarchical structure of SOA architecture, each layer is focus only on its own service it provided, and don’t care about the implementation of other layers, so it has very small coupling between layers. EOS provides mature component products, which can be used to quickly develop applications that meet the system requirements, and these systems always have good maintainability, it is easy to extend or improve the system. The data extraction tools system used are Sagent ETL products, including the Design Studio which is used for planning design, Sagent Automation which is used to get plans run automatically. The reports of the system are developed by Runqian report designer and have intuitive interface. The database system adopted is the IBM’s DB2, The web server is EOS Server integrated with Tomcat.