Business Process Re-engineering Of Comprehensive Operation And Risk Management In Banking Systems

This thesis is based on the understanding of the idea of object-oriented softwareprogramming, business management, banking processes, the use of UML analysismethods and process reengineering core idea. A work process for new banking productdevelopment, promotion, organization and marketing of a new is proposed.Work on process reengineering in the management of science research isvoluminous, and some research is from accounting to study the optimization of theaudit process, or the development of ERP software in the field of computer applicationof science. However, but relations aspects of the analysis and study the actual inbusiness process and UML is discussed very little.Based on the internal management structure and business processes of thebanking system, the use of object-oriented software programming ideas, the use ofUML technology to create a new bank product life cycle, new business models aredeveloped, which reflect the BPR (process reengineering) as the core idea. A newperspective to reform of the banking system is presented in this thesis.Existing banking reforms are mainly related to the accounting of accounting, riskcontrol loans and online banking, administrative streamlining stream lining theorganization. Telephone banking services and queuing system are two typicalexamples of BPR Here, we propose another idea, which is the BPR structure of thecomplete cycle of banking products, with the UML and enterprise managementphilosophy.Bank processes re-engineering, indeed is a huge project in terms of softwareimplementation. Therefore, this thesis is mainly focusing on the re-engineering processon loan borrowing and risk management. For the risk management system, it is mainlybased on the data entry model, risk analysis model and report generation model.Needs analysis is performed in three aspects: the choice of database design, therisk management analysis, and the implementation and testing. Therefore it canidentify potential high-risk customers and factors to pose the risks so that measures canbe taken in time to reduce the risk.