Research And Development Of Decision Support System In Business Management

Living in a brand new era of Big-Data, people tend to make every factor quantitative. Tomanage the enterprise with the help of quantitative data will bring in considerable profit. Butthe existing management systems concentrate on improving the running efficiency of thesystem, and lack the intelligent abstracting and recombination on data. Thus, the existingsystems are unable to handle complex data structure and a new process pipeline needsintroduced.For an enterprise, timely and scientific information for decision makers will greatlyinfluence the choice. At present, information management system for large enterprises inChina only focuses on efficiency. However, for whether the results are scientific and whetherthe filtering methods are reasonable has not been taken serious attention. Most enterprisemanagement decision-making mechanisms are not perfect. There is no scientific method andmeans and the managers used to deal the problems with subjective experience of reasoningarbitrarily. Therefore, designated scientific decision-making management system isparticularly important for the development of enterprises.In this paper, we propose a “project multi-transactions audit and decision supportsystem” on the basis of JISHI mass media corporation requirements. Focusing on the largescale and abundant data source, under the guideline of data-warehouse and data-mine technic,we process the structured data, semi-structured data and non-structured data. We carry out amulti-degree data analysis on the basis of data mining technique, to find out and make use ofthe hidden commercial information.This system aims at recombining and analyzing the large scale history data in theprocedure of project audit. After the analysis on this big data, extract the complex relationshipor related core information between manufactures and retailers. In this way, we can providethe enterprise project managers with valuable decision support information. The entire systemdesign can provided a large number of decision-making information for decision-makers. It issufficient to improve the resource utilization of large-scale projects, enhancing thecomprehensive competitiveness of media companies in the local province. The subject hasgreat research significance and broad application prospects for enterprise.