With the development of the big data era, the amount of enterprise financial transaction data continues to grow, bringing new challenges to financial transactions. It also brings new solutions based on modern Internet science and technology. The rapid development of big data and the improvement of information resource processing efficiency can create greater economic value for the company. In the era of big data, the company’s financial development is faced with a large number of data resources. The combination of these information resources has brought not only development advantages to the company, but also challenges. Therefore, this paper studied the characteristics, functions and existing problems of enterprise financial data under big data by analyzing the significance, application status and influencing factors of financial data visualization. Some scientific archiving strategies have been proposed to improve the visualization of financial data. The financial resource integration of enterprises under the new model was 8.7% higher than that under the traditional model. The data cognitive ability of enterprises has improved by 8.9% compared with the traditional model. The data visualization effect after data archiving was 11.2% higher than that before data archiving. The data processing effect after data archiving was 8.5% higher than that before data archiving. The information sharing rate after data archiving was 7.5% higher than that before data archiving. In a word, big data can promote scientific archiving and data visualization of financial data.
