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作 者:丁雪慧[1] DING Xuehui(Binzhou Polytechnic,Binzhou Shandong 256603,China)
机构地区:[1]滨州职业学院,山东滨州256603
出 处:《信息与电脑》2021年第24期7-9,共3页Information & Computer
基 金:滨州市科技发展计划项目“基于物联网时代物流供应链成本管理研究”(项目编号:2011ZC0403)。
摘 要:在当前大数据环境下,传统的财务分析体系已无法满足企业管理决策层的需求。为实时、有效、精准地提供财务分析结果,建立一套以财务相关数据为基础的财务分析架构势在必行。本文从大数据环境下财务分析存在的问题入手,建立了大数据环境下财务分析架构,并从大数据内外环境、财务数据质量分析、财务专业分析等3个方面进行深入分析。为提高该架构的可行性,本文提出了大数据环境下企业财务分析建议,助推财务分析成为企业有效的财务管理和决策工具。In the current big data environment,the traditional financial analysis system can no longer meet the needs of enterprise management decision-makers.In order to provide real-time,effective and accurate financial analysis results,it is imperative to establish a set of financial analysis framework based on financial related data.Starting with the problems existing in financial analysis under the big data environment,this paper establishes a financial analysis framework under the big data environment,which analyzes the internal and external environment of big data,financial data quality analysis and financial professional analysis.In order to improve the feasibility of this architecture,this paper puts forward some suggestions on enterprise financial analysis under the big data environment,which promotes financial analysis to become an effective financial management and decision-making tool for enterprises.
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