Accounting Intelligent Monitoring System Based on Data Analysis Algorithm

With the continuous increase of the number of risk points in accounting, how to improve accounting risk control has become an urgent problem to be studied and solved under the new situation. This paper designs an intelligent monitoring system for accounting risks. In the system analysis and design stage, this paper builds an intelligent accounting information management system based on SAP HANA to reduce accounting risks through real-time monitoring. In the implementation phase of the accounting risk monitoring system, an accounting risk monitoring model based on CNN-LSTM was established. Experimental analysis shows that the accuracy, accuracy, recall and F1 values of the CNN-LSTM accounting risk monitoring model are higher than traditional machine learning algorithms such as SVM and K-mean clustering analysis. Therefore, the accounting risk intelligent monitoring system constructed in this paper has stronger predictive analysis capabilities and can break through the bottleneck of traditional business intelligence systems.