A study of SSM's digital platform in financial auditing
Traditional financial auditing has created a large number of data silos.To solve this problem and improve audit efficiency,the study uses SSM as the development framework and designs a digital platform for financial auditing around the project that contains functions such as suspicion management,project management and monitoring and alerting.The results of the functional tests conducted on the platform demonstrate the ability of the anomaly detection algorithm to filter data efficiently,which reduces the manpower consumption of suspicion analysis and increases the efficiency of suspicion analysis.The performance test results show that the server CPU occupation rate is basically kept below 20％and the sys-tem CPU occupation rate is basically kept below 30％,and the experimental results show that it can meet the needs of ac-tual audit business personnel.
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