Application Research Of Big Data Technology In The Internal Audit Of Construction Projects In S Power Engineering Company

With the rapid development of national economy in recent years,the scale of engineering construction in energy field is expanding continuously,the financial investment and complexity of the project are also increasing,internal audit of engineering projects has gradually become the main guarantee for power engineering units to regulate management and operations in accordance with the rules.Nowadays,the internal audit of engineering projects is undergoing great changes,which makes it difficult to ensure that the engineering internal audit of companies matches the trend and takes into account efficiency and quality.In addition,the fast-paced informationization process in the electric power field has made companies accumulate a lot of business data,and it will become a waste to discard these data.At present,the organic combination of big data and engineering internal audit can improve audit quality and efficiency while avoiding the waste of data resources,which is an ideal way to solve this dilemma.S Power Engineering Company is an important construction unit with a high level of informationization under the Shandong Electric Power Corporation of the State Grid,it still adopts the traditional form of internal audit of engineering after completion.Obviously,this kind of auditing method has not been able to adapt to the current situation,S Power Engineering Company should gradually change the procedures and methods of internal audit of engineering projects,in order to improve the audit quality and promote better development of this company.This thesis takes S Power Engineering Company as an example to explore the way of applying big data technology in internal audit of engineering.Firstly,it reviews the research status of big data and engineering audit at domestic and abroad,then explains the theoretical basis of internal audit of engineering projects and its development based on big data.Secondly,this thesis uses research methods such as field research method and expert interview method to study the current situation of engineering internal audit in this company,find out the problems and analyze the reasons,as a way to reflect the necessity of reforming engineering internal audit with big data technology.Then,it conducts an in-depth study on the application of big data technology in engineering internal audit,and explores the specific application methods from a practical perspective.Finally,the author makes several suggestions that can promote engineering internal audit based on big data technology.