Research on the Problems and Optimization of Informationization of Internal Audit in Engineering Projects under the Background of Big Data

Abstract

Driven by the background of big data, the development of big data technology has led to a significant transformation in the internal audit of engineering projects. As a core link in the social economic supervision system, the importance of audit work has been continuously strengthened, and it has accelerated its evolution towards modernization through the integration of information technology and intelligent technology. As a branch of the audit field, the internal audit of engineering is no longer able to adapt to the current development trend. To enhance the efficiency of the internal audit of engineering projects, the introduction of big data technology has become a key approach. This informatization strategy not only optimizes the quality and efficiency of audit operations but also significantly enhances the construction of the unit's internal control system, marking the inevitable trend and practical demand of the development of the internal audit of engineering projects under the background of big data. This study focuses on the background of big data and aims to explore the construction path of the digital system of engineering internal audit, with the expectation of improving audit efficiency, optimizing risk prevention and control, and providing theoretical frameworks and practical references for both the academic and industrial communities.