Data Mining of Enterprise Financial Management Based on AHP

• Published in: Journal of physics. Conference series Vol. 1881; no. 4; p. 42077
• Main Author: Hai, Li
• Format: Journal Article
• Language: English
• Published: Bristol IOP Publishing 01.04.2021
• Subjects: Algorithms; Analytic hierarchy process; Data mining; Decision analysis; Decision making; Financial management; Financing; Information technology; Marketing; Physics; Quantitative analysis
• DOI: 10.1088/1742-6596/1881/4/042077
• ISSN: 1742-6588

Abstract With the rapid development of information technology, enterprises are increasingly dependent on information technology in the development process. In the process of production and operation, enterprises usually accumulate massive data, including internal cost data, investment data, financing data and asset allocation data, as well as external customer and supplier data. These two kinds of data are directly related to the financial management status and marketing planning means of enterprises. Taking data mining algorithm as an example, this paper introduces the categories of data mining algorithm. Then the application of data mining algorithm in enterprise financial management and marketing planning is described. Analytic hierarchy process (AHP) is a multi criteria decision-making method which combines qualitative and quantitative methods. It can express and deal with subjective judgment in quantitative form. In this paper, the analytic hierarchy process (AHP) is used to improve the data mining technology, and further broaden the types of data mining algorithm model. This method improves the efficiency and effectiveness of enterprise financial management, and provides corresponding reference for the development of enterprises.