摘 要:“一带一路”国家在税务信息化的发展过程中,产生了海量的涉税数据,如何从海量数据中分析挖掘纳税主体的风险行为,为税务决策制定提供量化支撑,是“一带一路”国家税务信息化未来研究的重要方向。文章结合目标国家税务信息化建设的需求和数据特征,基于大数据存算分离架构,采用 Flink 实时计算与离线计算相结合的方法构建多种数据分析模型,实现了以企业发票数据分析为着手点,以企业风险识别为目标的分析预警系统。
关键词:一带一路;涉税数据;Flink;实时计算
DOI:10.19850/j.cnki.2096-4706.2023.03.009
中图分类号:TP311 文献标识码:A 文章编号:2096-4706(2023)03-0041-04
Research and Application of “The Belt and Road Initiative” National Tax-related Data Analysis Architecture Technology
WANG Ming, JIA Xiqiang, SHAO Huiqin
(Aisino Corporation, Beijing 100195, China)
Abstract: During the development of tax informatization of the “the Belt and Road Initiative” countries, a large amount of tax-related data has been generated. How to analyze and mine the risk behaviors of taxpayers from the huge amount of data and provide quantitative support for tax decision-making is an important direction for the future research of tax informatization of “the Belt and Road Initiative” countries. This paper combines the needs and data characteristics of the target country's tax informatization construction, based on the big data storage and calculation separation architecture, uses the method of combining Flink real-time calculation and offline calculation to build a variety of data analysis models, and realizes the analysis and early warning system with the enterprise invoice data analysis as the starting point and the enterprise risk identification as the goal.
Keywords: the Belt and Road Initiative; tax-related data; Flink; real-time calculation
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作者简介:王明(1985—),男,满族,河北秦皇岛人,高级工程师,本科,研究方向:税务信息化。