Research And Implementation Of Visualization Analysis System Of Banks’ Capital Flows

With the development of the economic information technology in recent years, the accurate analysing of the funds flow plays a more and more important role in the banking sector. The current research on bank capital flows are based on establishing evaluation function or a model from historical data to predict the flow of funds. However, this kind of research method is always targeted, it neglects the details in the flow of funds, and the utilization of information value is not high. Based on these questions, this thesis makes a deep research on the application of visual analysis technology in the capital flow data analysing, and designs and realizes a bank capital flow visualization analysis system.First of all, this thesis focuses on the visual analysis technology. It identifys the availability of six visualization model in bank capital flows data visualization and improves the two of them,and defines a human-computer interaction technology based on the multi view joint coordination system.Secondly, this thesis analyzes the business needs and sample data set of the bank funds flow, and determines the cleaning scheme for supporting business needs data’s field and data content. It develops data interface, data calculation method, graphics rendering scheme and interactive event handling of six visualization model, and designs the visual analysis implementation for the six business needs.Finally, designing and realizing the system is the key work of this thesis. It proposes a Model-Driven Visual Analytics System Generate Method(MDVAM), according to this method, this thesis uses C# language and.Net framework to complete implementation of the system. The system includes five basic modules: data source selection, configuration, data visualization and event configuration, model description file generation and visual analysis system generation. In this thesis, we use the sample data set given by the bank to realize the business requirements. Through the experiment, the bank employees have no programming experience and not the experts in visualization field, can quickly and efficiently generate visual analysis service application by the system. The system also has a good scalability for business requirements.