Research on the Combination of Intelligent Management of Tax Data and Anti-Fraud Technology

Abstract

With the continuous update and evolution of tax-related data, intelligent tax data management supported by big data-driven anti-fraud technologies has gradually become the core pathway for improving the efficiency, accuracy, and transparency of modern tax administration. Based on practical work scenarios, this study first outlines the theoretical framework of intelligent management, including data governance architecture, algorithmic decision-making mechanisms, and the functional logic of anti-fraud systems. It then systematically examines several prominent challenges currently faced in tax data management: inconsistent data standards across systems and departments, fragmented or interrupted process collaboration, lagging response of risk identification models, insufficient utilization of dynamic monitoring indicators, and relatively low interoperability among platform components. To address these issues, this paper proposes a set of targeted optimization strategies. These include establishing unified and fine-grained data standards to ensure semantic consistency, promoting cross-departmental collaboration through process re-engineering and automated workflow integration, and enhancing the responsiveness of risk detection models through dynamic model deployment, continuous training, and adaptive feedback mechanisms. Furthermore, the study highlights the importance of building an integrated tax governance platform that enables seamless data circulation, real-time communication across systems, and comprehensive risk visualization. The proposed solutions aim to provide actionable technical guidance for tax risk control, strengthen precision identification of abnormal behaviors, and enhance the capability of tax departments to detect, prevent, and respond to emerging fraud patterns in a timely manner. Ultimately, the research contributes to the modernization of tax administration and supports the development of a data-driven, intelligent, and resilient tax governance system.