Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 8, Issue 2


Published
on

October 25, 2023


Pages


DOI

Article

Construction of a Digital Shared Management Platform for Enterprise Finance in the Information Age

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Authors

Shujing Liang Affiliation:
Shangdong Foreign Trade Vocational College, Qingdao, Shandong, 266100, China.


Abstract

Based on the construction objectives of the enterprise financial sharing management platform, this paper focuses on the design concept and implementation process of each system module based on the overall system design under the framework of the financial sharing platform. The BP neural network algorithm is used to evaluate the financial information risk, the particle swarm optimization algorithm is used to optimize the database, the big data visualization technology is used for digitizing the financial information, and the metadata sharing technology is used to transfer the financial sharing data, to complete the financial information sharing. Through testing the platform, it is concluded that the real-time packet loss rate of financial sharing data is kept below 20%, and the average response time of multi-user clicks is within 2S. Therefore, the sharing function, the function of each module, and the performance of the platform in this paper can meet the needs of enterprises.


Keywords

BP neural network, Particle swarm optimization, Big data visualization, Metadata sharing, Financial shared management, 91B44


Citation

Liang, S. (2023). Construction of a digital shared management platform for enterprise finance in the information age. Applied Mathematics and Nonlinear Sciences, 8(2). https://doi.org/10.2478/amns.2023.2.00795

Published by: Engineering Journals

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