The aim of this study is to discuss how to effectively use big data in financial analysis and apply big data to various management decisions to effectively improve its efficiency. In order to study the application of big data in the field of digital economy, the study problem is data management that 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. The methods used in this study are 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. The results of this study proved that the system improves the efficiency of data management.

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