The Research And Applications Of Data Mining In Investment Management

With the global economic integration accelerating, domestic investment enterprises are facing increasing pressure of market competition, so corporate managers, especially the business decision-makers hope to find a good policy in response to competitive pressures and also find causes of the operation and management problems from a lot of historical data,in the other word,they hope they are able to dig out useful information from a large amount of data quickly to respond to the changing market. The investment management system with data mining capabilities is an integration application of hardware and software, which is between the digital society and a MIS. It is an important tool to enhance investment management ability.This paper studies the application of data mining in investment management system. We aim at dissolving two problems, one is that the technology and standards in different departments are not unified in current system which lead to a variety of applications and resources can not be rational allocated and shared, and the second problem is how to achieve best policy response to the pressure of competition from lots of historical data for decision makers.This paper describes implementation plan of the investment management system. In accordance with the "overall planning, phased construction" principle, we designed the system in two stages according the actual needs. The work in first stage is to complete human resources system, financial management system, customer management system, real estate sales management system, commercial real estate management system and the professional market management system, and the business intelligence decision-making system and customer investment advisory system are finished in the second stage. This subject belongs to the sort of project. The needs of users, project feasibility, economic and other factors are fully considered, in the stages of initiation, design and project implementation. The realization of the entire system includes needs analysis, outline design, detailed design, application systems development and debugging.