Research on the Application of Big Data Analysis Technology in Financial Management Innovation in the Digital Economy Era

Abstract

In the context of the digital economy era, traditional financial management has been difficult to meet the requirements of modern enterprises for data processing speed, depth of analysis and precision of decision-making. Combined with the guiding ideology and principles of indicator system design, 98 evaluation indicators are initially selected, and after a series of evaluation indicator screening, 30 evaluation indicators are finally determined to finalize the design of the evaluation indicator system for financial management innovation in the era of digital economy. Starting from the scope of big data analysis technology, it is proposed to use entropy weight method and TOPSIS method to construct enterprise financial management evaluation model. Finally, with the support of research data, the model is used to evaluate and analyze the financial management of an enterprise from 2014 to 2023. It is obtained that the Euclidean distance of 0.5405 of the enterprise's financial management level during 2014~2023 is reduced to 0.4497, indicating that the model in this paper can intuitively react to the current enterprise's financial management problems. In order to better face the challenges and opportunities of the digital economy, it proposes an innovative strategy for financial management in the economic era that integrates big data analysis technology