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Investigation on Tax Planning and Risk Prevention Based on Financial Big Data

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DOI: 10.23977/ferm.2023.060709 | Downloads: 107 | Views: 752

Author(s)

Xiaofang Huang 1, Jun Zhang 1

Affiliation(s)

1 Philippine Christian University, Manila, Philippine

Corresponding Author

Xiaofang Huang

ABSTRACT

In today's increasingly perfect market economy system and constantly improving national economic development level in China, enterprises are facing more and more challenges and challenges. Tax expenses are also a major expense of a company. Without violating tax regulations, reducing the company's tax burden through tax planning can greatly help enhance the company's core competitiveness. At the same time, after the reform of business tax to value-added tax, there have been many positive changes in tax planning for enterprises, which have played a guiding role in adjusting their investment and financing decisions. In order to explore the application of Big Data (BD) technology in enterprise tax risk prevention and control, enrich the existing research theory of BD risk control, and bring inspiration and reference to other enterprises that are building BD risk control, this paper selected Z Company, a group company that started earlier and had the characteristics of BD risk control platform construction, to conduct an example analysis of Z Company's application in BD financial risk control. Taking Company A, a subsidiary of Company Z, as the research object, through experiments, it was found that the highest number of serious risks in Company A reached 38, while the maximum number of general risks was 115. Therefore, in the context of financial BD, tax financing and risk prevention and control were very necessary.

KEYWORDS

Tax Planning, Risk Prevention, Financial Big Data, Analytic Hierarchy Process

CITE THIS PAPER

Xiaofang Huang, Jun Zhang, Investigation on Tax Planning and Risk Prevention Based on Financial Big Data. Financial Engineering and Risk Management (2023) Vol. 6: 60-68. DOI: http://dx.doi.org/10.23977/ferm.2023.060709.

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