摘要
随着数据挖掘技术的出现,可以实现多维度对传统的财务管理理念和方法的补充完善与提升。本文主要介绍了数据挖掘技术的概念特征和主要功能,分析了在信息化高速发展的大数据背景下企业传统财务管理的不足之处,提出了企业转变传统财务管理方式理念应当考虑的因素以及在财务管理工作中应用数据挖掘技术的具体建议。
With the emergence of data mining technology, it can realize the multi-dimension of the traditional financial management concept and method to complement and improve. This paper mainly introduces the characteristics and main functions, the concept of data mining technology are analyzed under the background of informatization rapid development of big data the deficiency of traditional enterprise financial management, put forward the enterprise transformation of the mode of traditional financial management idea should consider factors as well as the application of data mining technology in financial management work of specific recommendations.
作者
李丽阳
LI Li-yang(Department of Economics and Trade,Shijiazhuang University of Applied Technology,Shijiazhuang Hebei 050081,China)
出处
《湖北开放职业学院学报》
2022年第20期112-114,共3页
Journal of Hubei Open Vocational College
基金
2019年度河北省社会科学发展研究课题“基于传统文化视野的高职学生素质教育研究”(项目编号:2019030401004)。
关键词
数据挖掘技术
财务管理
数据分析
data mining technology
financial management
data analysis