The Construction And Application Of Data Analysis System In A Property Insurance Company

The application of information technology in the insurance business becomes much more complicated and challenging when the insurance industry grows into a matured stage. The information technology is expected to provide information at high-efficient data-exchanging and data-processing center and improve the risk management capacity of a company. Moreover, it is expected to use the titan-information to fulfill but the business goals, predict the trend in the insurance industry or even acquire the strategic competency in the highly-competitive industry. All these are the difficult problems that the insurance industry is faced with in its decision making and information technology application.The paper starts under the background of an asset insurance company's data analysis project. A highly-effective data-analysis system is far beyond a regular IT project. It serves the foundation for the decision making system of a company. So the project is not a ready product. There is neither ready mathematical model nor a one-fits-all solution. Then it analyses the property insurance company's application of data processing and data warehouse so as to emphasize that it is required and important to build the data processing system aligning with the specific business characteristics of the company.The major part of the paper introduces the system architecture and key technologies of building the data warehousing analysis system. It addresses the spiral development method and ProACT methodology. The paper emphasizes that data processing and data analysis are part of the business operation of an enterprise. The two parts follow the process of raising the problem, analysis of the problem, comparison among the possible solutions and selection of the best solution and implementation. In the data processing part, the analysis focuses on the issues of data quality and data overloading. It suggests the data cleaning and the data switching so as to attain the high-quality data. The data analysis part stars from the introduction of data analysis tools and the screening of the business themes to be analyzed. It provides the detailed explanation of the business theme analysis process and describes the application value for an enterprise. Finally, it discusses the further application of the data warehousing.Data warehousing is a continuously improved system according to the analysis requirement of an enterprise. The paper addresses that the project in topic has worked for the enterprise's business and guided its operation. Meanwhile, the development model and all the parts of the solution have been verified during the implementation. It is feasible and can be able to extend in the future. The experience and the project status quo can allow for the future development and improvement of the next phase of the whole project.The Author's main work:- Proposing that data-warehousing technology is strongly project-based. Every application shall be linked to the current business characteristics of the enterprise and the status quo of the management of the company- Clarifying the problems and providing solutions to those problems on the fully understanding of the requirement of data-processing and analysis in the asset insurance company- Summarizing the data-analysis subjects in the asset insurance industry; demonstrating data-warehousing process of one subject by using Cognos (?); illustrating the further application of the data warehousing in the filed and presenting the final solution.