Open AccessResearch on Enterprise Financial Management Supervision Mode Based on Data Mining
Author(s) -
Bochuan Liu
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1881/4/042074
Subject(s) - order (exchange) , confusion , competition (biology) , big data , face (sociological concept) , business , mode (computer interface) , enterprise management , finance , knowledge management , computer science , process management , data mining , psychology , ecology , social science , sociology , psychoanalysis , biology , operating system
In the current era of rapid development of digital global economy, facing fierce market competition, managers’ decision-making behavior will directly affect the development of enterprises and determine the development direction. Under the background of big data era, it becomes more convenient and efficient for people to obtain data. However, people still face the confusion of complicated data and limited valuable information. People are eager to find a tool in order to realize effective processing of huge and complicated data in the shortest possible time. Through the application of data mining technology, it not only brings great convenience to the financial analysis of enterprises, but also can quickly obtain the required knowledge and information from a large number of data, providing important basis for enterprise decision makers. Data mining technology has many advantages, such as rapidity and accuracy, which opens a new development direction for enterprise financial analysis. This paper mainly discusses the application of mining technology in enterprise financial analysis in detail, which plays an important role in ensuring the competitiveness of enterprises in the market.