The Application Of Data Mining Technology In Financial Analysis Of Big Data Age

Big Data,also known as huge amounts of information,is described in the era of information explosion,in order to collect,store,analyze and process different structures and types of data at a lower cost and more efficient way and obtain decisions Value related technology.In the context of large data,people get data more easily and swiftly,but still face too much data,the useful information is too little confusion,people are eager to find a tool to be able to quickly deal with a large number of short time.The different types of data,and ultimately generate information with decision-making reference value.In this context,data mining technology came into being.Big Data helps people realize the desire to convert everything to data and store it.Data mining technology can filter from huge amounts of data,extract useful information and construct intelligent analysis system,and draw the conclusion of decision-making reference value.With the continuous improvement of data modeling and algorithm optimization,data mining technology is widely used in various fields including financial analysis with its powerful function.Financial analysis originated in the early twentieth century,in the course of nearly a hundred years of development from the initial loan credit evaluation development evolved into an important financial activities and decision support.With the series of changes in the fields of science and technology and economy,the data collected by enterprises are more and more.The shortcomings of traditional financial analysis methods are gradually exposed,especially the one-sidedness and lagging performance can not meet the decision-making needs of modern enterprises.Financial analysis is becoming more and more urgent and necessary.The internal factors and the external environment of the enterprise all affect the financial status and operation status of the enterprise.How can the data mining technology and the financial analysis method be combined to collect and store the data,filter and analyze the data,which is value of business information,so that business decision-makers can more timely and accurate access to these information,and then make the trend of financial,strategic decision-making,improve the market competitiveness of enterprises,is still a worthy of further study of the subject.This paper is based on the data mining technology based on the financial analysis platform for the study of the object,and the full text is divided into five parts.The first part is the introduction,introduces the research background,significance,methods and domestic and foreign scholars of previous research progress.The second part is the concept of elaboration,focusing on the large data background,data mining technology and its application in the management principle.The third part elaborates the application principle and the realization path of data mining technology in financial analysis.This paper expounds the theoretical and practical significance and feasibility of the combination of data mining technology and financial analysis from three aspects: the problems in traditional financial analysis,the deepening of financial analysis and the path of financial analysis platform.The fourth part takes the S group as a typical case,analyzes the dilemma faced by the group's traditional financial analysis and the application effect and evaluation of the data mining financial analysis platform,as well as the shortcomings and suggestions for improvement.Finally,the fifth part summarizes the whole paper and makes a prospect for the future research direction.