Research On The Application Of A Group's Financial Decision Support System

In the process of the development of enterprise financial management informationization,business information and financial information will be merged to promote the effective functioning of management accounting and financial accounting.With the rapid development of technologies such as Big Data,Artificial Intelligence and Internet technology,many functions of Financial Decision Support System are realized,especially the maturity of Data Warehouse technology,which provides the underlying data protection for enterprise decision support system.Under the background of Management informationization,enterprises are faced with many problems.How to use information technology to strengthen the competitiveness of enterprises and how to make the right decisions are the great challenges that every enterprise faces and the also are the great opportunities that each enterprise is offered.This paper mainly studies the demand analysis and application status of A Group Financial Decision Support System,and summarizes the application of A Financial Decision Support System,so as to provide reference for other enterprises when applying this type of system.A Group's Financial Decision Support System is a financial management system that provides managers with decision support to help managers better perform strategic management and more effective risk management and control of the Group.In addition,Group A Financial Decision Support System also has the flexibility to generate all kinds of management and decision-making required financial reports,corporate budget management.This paper mainly analyzes the specific application of Financial Decision Support System in the background of Management informationization,and studies the key technologies such as Data Warehouse.By analyzing the management pain points faced with Group A,this paper brings forward the demand analysis of Group A for the financial management system.Group A's Financial Decision Support System can effectively solve most of the problems.Through the application status and application analysis of Group A's Financial Decision supportsystem,it is concluded that the financial decision support system can meet the needs of A group's Management.In addition,through the analysis of the specific application practice of Group A,and summing up its experience and lessons learned in the application,it can provide reference for other enterprises.The theoretical part mainly contains two parts: Data Warehouse,Financial Decision Support System.The concept and the application of Financial Decision Support System are analyzed in detail.Through the theoretical part of the study,we can sort out the underlying technologies and related concepts in depth,laying a solid foundation for case studies.The case section mainly selects Group A's financial decision support system.Since its launch in 2015,it has been updated four iterations.From the initial report management function,it gradually added intelligent reporting,benchmarking and risk management.Through continuous iterative updates,the functions of the Financial Decision Support System are increasingly perfected,and through practical application for nearly three years,there is clear data on its practical status and facilitates research.The case study of this paper mainly studies the problems by asking questions-solving problems-drawing lessons from the meaning.First of all,,some of the management pain points faced with enterprises,which led to thinking on how to solve the problem.Second,why Group A chose to use the Financial Decision Support System to solve the existing problems in this way,whether the problems are effectively solved or not,and what experiences and lessons can be learned from other enterprises in the process of solving the problems.Through the analysis of the case,it can be concluded that the Financial Decision Support System can effectively meet the needs of Management informationization and achieve good results,improve the efficiency of financial staff,provide data support for managers' decision-making support.