Welcome to Scholar Publishing Group

Socio-Economic Statistics Research, 2025, 6(2); doi: 10.38007/SESR.2025.060221.

Optimization and Upgrade Path of Tax Management Software System Based on Cloud Platform

Author(s)

Qifeng Hu

Corresponding Author:
Qifeng Hu
Affiliation(s)

Independent Researcher, 567 B Mountcastle Rd, Springfield 62704, Illinois, USA

Abstract

Due to the digital age, the US tax system is confronted with a complex tax environment and data processing requirements. The current tax management software system (the tax system) has many challenges in terms of performance, security and elasticity, and it is necessary to improve the service level of the tax system through technological updates. The elastic scalability of the cloud platform can effectively make up for the drawbacks of the tax system and improve the system efficiency. This paper analyzes the technical architecture and existing problems of the current system, demonstrates the process of optimizing the tax system by using the cloud platform, and puts forward suggestions for the upgrade of the tax system in line with the cloud platform, including enhancing the storage and computing capabilities of the tax system, improving the architecture of the tax system, ensuring security, and meeting regulatory requirements, with the aim of providing technical suggestions and practical references for the tax department.

Keywords

Tax management software system, Cloud platform, System optimization, Technological upgrade

Cite This Paper

Qifeng Hu. Optimization and Upgrade Path of Tax Management Software System Based on Cloud Platform. Socio-Economic Statistics Research (2025), Vol. 6, Issue 2: 194-200. https://doi.org/10.38007/SESR.2025.060221.

References

[1] Ramdhony D, Liebana-Cabanillas F, Devi Gunesh-Ramlugun V F. Modelling the determinants of electronic tax filing services' continuance usage intention. australian journal of public administration, 2023, 82(2):194-209.

[2] Haragu R I, Tama A S, Tama G S. Instruments on Tax Compliance in the Romanian Digital Systems.Finance: Challenges of the Future, 2024, 24(26):14-16.

[3] Kumar V, Rayappan J B B, Amirtharajan R, et al. Quantum true random number generation on IBM's cloud platform.Journal of King Saud University - Computer and Information Sciences, 2022, 34(8):6453-6465.

[4] Wei K, Yang Z, Ou Y. Construction of Cross Border E-commerce Cooperation Alliance based on Cloud Platform and Interest Game. Global Academic Frontiers, 2024, 2(1):22.