The Design And Implementation Of Bank Intelligent Business Decision-making System

With the increasingly fierce competition between the major banks, the only daily business processing electronic can not meet the banking needs of the development, correct and timely decision-making has become an important guarantee for bank survival and development. The growing number of banks to realize:only fully utilized, and to explore their existing data in order to make correct and timely decision-making on this basis to achieve greater efficiency.Increase due to the complexity of the banking requirements of the quality of business decision-making and improve business decision-making system in the banking industry can not meet the development needs of its business, the need for effective change and development for the banking, fully integrated traditionalDDS field of practical results and the successful experience of the design and implementation of rural credit cooperatives in Shandong Province, intelligent business decision-making system the (IDSS).Rural Credit decision support system described in this article on the basis of the original banking data, Data Center, extraction and conversion in order to achieve the related information query, statistical analysis, decision support, work supervision, performance evaluation function, so that all level bank managers can keep track of the dynamic operating conditions in order to strengthen the management and make the right decisions. The establishment of fully functional business decision-making system in line with current needs and direction of development banks, the main function modules includes business entities evaluation module, asset condition analysis module and operation detection module. Business entities evaluation module by manipulating the detailed operation of the data, such as the ranking of the business, agency personnel, balance sheets, operating capacity, financial position. Asset condition analysis module’s main function is to analyze the data on the condition of assets, such as the loan structure, non-performing loans, due loan recovery rate of loans to special statistical release to recover the situation, and historical analysis. The operating system of the detection module function analysis and monitoring business information, business information beyond the operating indicators give warning.This project is based on the MVC developing model and using UML to describe the business model, we have completed the system demand analysis and system design of the shandong province rural credit cooperatives management decision, laying the solid foundation of system development work, also unified the development specifications and standards to ensure the software quality, and reduce costs and minimize the risk of development.The banks of the design and development of decision support system is running on intellgent business decision-making support system for the overall program in the core banking system,"intelligent decision" service software system, this environment is to conscientiously implement the Shandong Province Rural Credit Union community concrete manifestation of the basic design idea of "intelligent decision" is highly concentrated in the province and even across the country to achieve industry-wide operational data. The system in the "intelligent decision" of the data extraction, sorting, on the basis of the processing means of scientific analysis, in order to make the branches of the province at all levels to take advantage of the results of these analyzes to keep track of business activities, strengthening the rural credit community management, and make the right business decisions.