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Financial Management Construction Based on Informatization

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Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1303))

Abstract

Increasing the investment of enterprises in financial management information, can greatly improve the current situation of enterprise capital supervision, improve the utilization rate of funds, reduce the risk that enterprises may face in the process of operation, and can significantly improve the competitive strength of enterprises. In order to provide better Suggestions for the development of enterprises, this paper studies the financial management construction under the informatization. This paper first introduces the connotation, classification, operation mechanism of cloud finance and its influence on the financial management informatization of small and medium-sized enterprises. Secondly, based on the investigation and statistics of the financial management informatization platform of small and medium-sized enterprises in some regions in the information age, the algorithm of the platform was improved, and enterprise A was selected to put it into use and observation. The results showed that the operating efficiency was improved by 21.6%. Finally, the paper discusses the security management of the financial platform under the informationization in detail, and puts forward the way to optimize the financial management construction of small and medium-sized enterprises under the informationization.

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Correspondence to Ruili Wang .

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Wang, R. (2021). Financial Management Construction Based on Informatization. In: Atiquzzaman, M., Yen, N., Xu, Z. (eds) Big Data Analytics for Cyber-Physical System in Smart City. BDCPS 2020. Advances in Intelligent Systems and Computing, vol 1303. Springer, Singapore. https://doi.org/10.1007/978-981-33-4572-0_125

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  • DOI: https://doi.org/10.1007/978-981-33-4572-0_125

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-33-4573-7

  • Online ISBN: 978-981-33-4572-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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