Research On Optimization Of Tax Risk Management In Lanzhou Gaoxin Zone From The Perspective Of Data Governance

In In the digital era,with the iteration and upgrading of modern information technology,data has become an important factor of production and played a vital role in various fields.In the field of tax,the massive tax-related data brings opportunities,but also faces many risks.Tax risk management and continuous optimization have become an important topic in modern tax collection and management.How to use the huge tax-related data resources to provide support for the optimization of tax risk management,the key is to introduce data governance into tax risk management.Firstly,by explaining the research background and research significance of the topic,determine the research idea of the paper;on the basis of extensive reading of literature and related materials,the research results of domestic and analysis,so as to clarify the research direction of the paper.Secondly,this paper clarifies the relevant concepts and theories of tax risk management,and takes Lanzhou High-tech Zone as an example,and analyzes the local measures taken for tax risk management from the perspective of data governance.Again,based on the results of the tax risk management department questionnaire and the content of the structured interview,based on the data management theory and risk management theory,combined with Lanzhou high-tech zone tax risk management process of all kinds of influencing factors and analysis,from the problem of three links: data acquisition,risk identification,risk response,summarize each stage of the data management related problems,including tax-related acquisition data management quality problems,risk identification technology using problems,risk response link data value mining problem.Starting from the problems,the causes of problems in each link are further summarized,and the causes of problems are deeply analyzed from three aspects:organizational mechanism guarantee of data acquisition and integration,digital technical support of risk analysis and identification,and data analysis ability of risk response and feedback.Finally,suggestions on optimizing tax risk management are proposed from three aspects: first,the data management in the basic data collection link,the basic data collection standards,the acquisition channels of tax-related data,and the review and verification process of the data quality;second,the application level of intelligent tools in the tax risk identification link,the application of big data technology,the multidimensional correlation of data indicators,the analysis and utilization of big data value;the integrated construction level of the tax risk response link,the optimization of the process of risk response and feedback,the compound big data risk management team,and the joint management of "credit + risk".So as to realize the continuous optimization of tax risk management,and continuously improve the overall efficiency.