Research on Data Analysis of Digital Economic Management under the Background of Big Data

Abstract

In order to study the application of big data in the field of digital economy, data management improves the needs of business model to a certain extent and responds to the pace of rapid development of science and technology and the transformation of business model in special times, so as to promote economic development. Based on the information extracted from the software system log, this study introduces machine learning algorithms such as spatial convolution and fuzzy multicolumn convolution, deduces the interaction between visitors and software according to the system software access log, wavelet algorithm, and denoising algorithm, deduces the data value index of the secondary market, constructs the simulation software under Matlab, and compares it with the previous system, By improving the prediction sensitivity of interaction and the prediction coupling of data value, it is confirmed that the system improves the efficiency of data management, so as to achieve the purpose of digital economic management and promote economic development and progress.