| In recent years,in order to adapt to the development of information,many units have deployed information application system to deal with daily business.The traditional information mode is to issue the related tasks through the office automation process,but this is separated from the specific project,and in the actual project audit process,it needs to carry out the audit with the project as the baseline.This leads to a lot of information about the audit project to form a data island,and a lot of audit data does not have early warning indicators and other information,it is very difficult to monitor and check only by hand.To this end,the paper proposes a digital audit platform development program,to achieve project-oriented business data analysis,combined with abnormal data detection,improve audit efficiency,mainly around the following areas of work:First of all,we clarify the current problems in the audit management of the audit bureau,understand the current informatization construction of the audit bureau,determine the feasibility of the digital audit platform research,and determine the research content.From the perspective of different users and the function of the system,the requirements and non-functional requirements were fully investigated and analyzed.After the determination,the requirements specifications were written and confirmed by the specific users.Then,the system architecture is designed by using SSM(Spring + Spring MVC + Mybatis)architecture,and the whole system is divided into resource layer,service layer,application layer and access layer,the processing flow of the core function in the module is illustrated by using the sequence diagram.The business data information is finally stored in the database,the paper analyzes and describes the relationship between different project entities through E-R graph,and transforms it into database tables,introduces the structure design of the core database tables,to achieve a unified project data and standardized management.In the face of audit big data,the application of Anomaly Detection Algorithm for audit doubt analysis.In general,large scale one whip projects,especially those related to big data in finance,social security,health care,and natural resources audits,improve efficiency by using anomaly detection algorithms to collect suspects,and then release them for verification.Finally,the Digital Audit Platform for network deployment,and functional programming.There are many functions in the system,the interface is defined and the necessary comments are added to ensure the readability of the code and the maintainability of the system.In order to ensure that the system can meet the needs of business processing,the black box test method is used to test the system from two aspects of function and performance.Digital Audit is the basic work for the Audit Bureau to change its working mode,adjust its working structure and improve its service level.The development of Digital Audit Platform consolidates the foundation of Audit Work,strengthens the Audit Bureau’s digital consciousness,and is a typical application of big data thinking.After the platform is put on line,the work efficiency of audit department has been improved greatly.The research and development and application of the system are of great practical significance. |
