Insurance Agent-based Data Integration System Applications

With the development of the computer, it is important to take full advantage of the convenience of computer science and efficiency for the future development of the insurance industry. Currently, information systems have been widely used in the insurance industry, however, because of past construction of IT architecture which lack of overall consideration, it appeared so many problems between insurance core business systems and external systems interact, such as information islands, data inconsistencies, data quality problems is not higher and so on, that impact the development of insurance industry. Therefore, it is essential to integrate the data on the insurance industry.In recent years, as the rapid development of computer technology and information science, it became a hot research in the field of distributed artificial intelligence at the Agent and Multi Agent System, and was given some of characteristics which are higher than the earlier type of artificial intelligence of distributed problem solving. As the focus of the current system, Agent has demonstrated great potential. Agent is applicated in the field of the System of data integration system in insurance industry , which can effectively improve the system of interaction timeliness, responsiveness, and initiative to make the system run more Wending reasonable, and can provide strong support to built for the late data warehouse and data mining.This paper addresses the insurance industry data integration issues for the stance to propose research ways to resolve this problem. That is establish Multi-Agent based data integration platform for city level and node level to integrate data, and establish ODS System to collect business data of data integration platform for city level, and establish Multi-Agent based data integration platform for province level to applicate in the field decision analysis after data integration, and monitor the run status of data integration platform for city level on data integration platform for province level. In this system, author took charge in the design of system structure, participated in the design and implement of Monitor Agent, Main Monitor Agent, Data Monitor Agent and Information Collection Agent. In addition to, author took part in the construction of ODS system on data integration platform for province level.