| With the improvement and perfection of social insurance info system, working people in the working area of social insurance are in great need of the integration of databases used in social insurance, exploration and full use of the present data, and the realization of data rearrangement, the data transfer to data warehouse, the multi-dimension data analysis, in a bid to construct user-oriented statistics and analysis application system and querying system based on data warehouse and decision support. The system can make comprehensive statistics and analysis to levying, plan completion and balance of income and payment from different angles, in order to direct decision support, choose vital data relevant to decision support on social insurance, and then develop more advanced querying and report form system, macro prediction sytem, and decision support system.The follwoing papers focus on the study of data warehouse technology and OLAP technlogy to take advantage of the intrinsic contact and complement between them, integrate the two technologies to design a new DSS truss in line with PROST data model, that is to say, develop an applicable and efficient solution scheme based on data warehouse and OLAP tool.The study, development and application of social insurance decision support system can offer believable technological support to social insurance cause on municipal, provincial level, even to state level, direct reform of social insurance policies, and provide substantial bases for social prosperity and stability. In the future, data warehouse and decision support system will surely be a key factor to social insurance cause and a necessary part of next-generation application system. |