Research On The Financial Risk OLAP Analysis And Early Warning In PV Enterprises

In recent years,with the government's vigorously support for the new energy industry,the PV enterprises have made rapid development in China.However,the core technology of photovoltaic industry is not yet mature due to the late start in China,which has a negative impact on the enterprises management and easily leads to the financial risk.In order to reduce the losses caused by the financial risks,the establishment of financial risk analysis and early warning system is imminent for PV enterprises.But in the face of the increasing amount of financial data,the traditional financial analysis method cannot meet the needs of risk analysis.Therefore,it's particularly necessary for the enterprises' healthy development to extract useful information from vast amounts of financial data and make multidimensional analysis and risk early warning for financial situation,with the help of business intelligence tools OLAP.This paper studied the PV enterprises' financial risk analysis and early warning models by means of business intelligence tools OLAP,which achieved the innovation of research methods.First of all,the paper described the development status of PV enterprises in China,clarified the meaning and the analysis methods of financial risk,summarized the connotation and models of financial early warning,and expounded the related theory of OLAP,which laid the theoretical foundation for the following research.Secondly,25 PV-listed enterprises were selected as samples to construct financial data warehouse.On this basis,the paper applied OLAP to the financial analysis and deeply analyzed financial situation of enterprises from four aspects of debt risk,operational risk,earnings risk,payment risk by means of slicing,dicing,rotating and drilling,which provided the basis for the index selection of financial risk warning model.Besides,on the basis of OLAP,the paper established the star-index-system of risk early warning,determined the weights of each warning index based on entropy weight,constructed the financial risk warning model,and verified the effectiveness of the early warning model by discriminant analysis.Finally,using OLAP cube as the data source,the paper divided the 25 sample enterprises into different categories through factor-clustering method and put forward their own countermeasures against the financial risks.The research will be helpful to the managements,investors,creditors and other stakeholders.