Digitization-based auditing method and system
By automatically identifying audit data through an information management platform and NLP technology, the problem of low efficiency in data extraction and display in existing technologies has been solved, enabling efficient and accurate audit data processing and analysis, and improving the quality and transparency of audit work.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CHINA NAT PETROLEUM CORP
- Filing Date
- 2024-11-06
- Publication Date
- 2026-05-08
AI Technical Summary
Existing technologies cannot effectively extract and display audit data, affecting operational efficiency. Furthermore, traditional auditing methods suffer from problems such as long manual operation time, high cost, and low accuracy.
An information management platform is used to aggregate data and visualize charts through BI reporting tools. Combined with NLP artificial intelligence semantic recognition technology, keywords and key data are automatically identified to establish an audit rectification database for multi-condition query and analysis. An audit data analysis model is built to identify audit clues and generate audit report formats.
It significantly improves audit efficiency, reduces manual operation time and costs, enhances accuracy and transparency, strengthens data sharing and integration capabilities, and provides more comprehensive data analysis and risk discovery capabilities.
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Figure CN121998564A_ABST
Abstract
Citation Information
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