Construction of Enterprise Financial Data Visualization Analysis System Based on Data Mining Technology

Abstract

With the rapid development of digital economy, enterprises need to make financial management activities and development decisions based on a large number of financial data and information. This also exposes the shortcomings of the traditional financial analysis and processing mode in adaptability, functionality and efficiency. In this regard, based on the actual needs of enterprises, this paper will put forward a set of construction scheme of enterprise financial data visualization analysis system, give full play to the practical application advantages of data mining technology in the era of big data, change the original processing methods, and provide an efficient, reliable and convenient new way for enterprise financial data analysis. The whole system adopts B/S architecture design, the client design is based on VUE framework, and the server construction is based on Django framework, and the financial data is analyzed, mined and visually displayed by using Numpy, Pandas, Matplotlib and other class libraries in Python environment. Practice has proved that the system can support users to call K-means, Decision Tree, Logistic and other algorithm models online for multi-dimensional analysis of financial data, which realizes an important supplement to traditional financial analysis, and achieves the purpose of improving financial management efficiency and assisting enterprise development decision-making.