The Construction And Model Implementation Of Financial Intelligent System

The research of decision Support System and Business Intelligence related technology is a hot topic in the field of information currently. But from the application point of view, the current implementation and application results of business intelligence are unsatisfactory. There have a long way to decision support. Therefore, we present a phase of transition to them--financial intelligence.Based on data warehouse, the financial intelligence with traditional accounting information system database, ERP database and data warehouse built based on them as the main data source, through on-line analytical processing and data mining techniques on the various types of large amounts of data and information analysis and processing, to achieve the conversion of data to information, its analysis results into the knowledge base, and use visualization techniques to multi-dimensional view in the form of interactive dynamic display, provide effective support in decision-making to middle and high level leadership.In this paper, firstly introduces the focus of research in the field of accounting information, the development of Intelligent financial analysis software, the research and application status of Data Warehouse, Data Mining and Decision Support Systems, and analysis the basic theories and key technologies of them, that building the foundation of Intelligent financial system. Then gives the definition of the financial intelligence, and do a detailed analysis of intelligent finance system construction and its specific content. The financial intelligence system is divided into four parts: financial intelligence analysis, financial intelligence monitoring, financial intelligence decision-making and Financial Intelligence warning. Then analyze the financial intelligence architecture and process and propose Financial Intelligence System Implementation Strategy, for the practical application of the current research status, propose the implementation strategy which combine low-risk financial intelligence and ideal financial intelligence. And according the proposed implementation strategy above, explore the implementation of the typical model of the specific form of financial intelligence system. Finally, summarizes the innovation and shortcomings of this article, point out that the research and development direction of financial intelligent systems which based on Data Warehouse and Data Mining.The innovation of this paper is that, proposing the transition to business intelligence--financial intelligence, based on the current business intelligence applications unfavorable, and analysis of its implementation strategy, particularly for the current application, proposing low-risk implementation strategy of financial intelligence, which provide guidance for the enterprise to build and implement the financial intelligence and build the solid foundation to its final application of business intelligence and decision support system. Additionally, combing the research of the financial intelligence, the related issues and the business practices what I and our team do during the last two years, according low-risk implementation strategy of financial intelligence, explore to realize the typical model of the financial intelligence system. A number of models have been promoted and used by enterprises, make a contribution for the promotion and the application of financial intelligence.