大数据挖掘技术在财务分析中的应用

Application of Big Data Mining Technology in Financial Analysis

大数据时代,人们能够更加便捷地获取信息、数据,而大数据挖掘技术进一步实现了从海量数据中筛选、提取有价值信息这一目标.财务分析是企业财务活动和重要决策的基础.当前,传统财务分析模式弊端逐渐显露,将大数据挖掘技术应用于财务分析是当务之急,该技术能够在财务指标分析、决策支持、财务预警等方面发挥重要作用.基于此,文章首先阐述了传统财务分析存在的不足,并探讨了大数据挖掘技术在财务分析中应用的可行性,最后就大数据挖掘技术在财务分析中的具体应用进行了分析.

In the era of big data,people can obtain information and data more conveniently,and big data mining technology has further achieved the goal of screening and extracting valuable information from massive data.Financial analysis is the basis for a company's financial activities and important decisions.At present,the shortcomings of the traditional financial analysis model are gradually revealed,and it is urgent to apply big data mining technology to financial analysis,which can play an important role in financial indicator analysis,decision support,and financial early warning.Based on this,this paper first expounds the shortcomings of traditional financial analysis,then discusses the feasibility of the application of big data mining technology in financial analysis,and finally analyzes the specific application of big data mining technology in financial analysis.