1. The data sources in the intelligent audit of telecom enterprises are often very complicated, and it is necessary to obtain data from different business systems, databases and documents. Due to the differences in data format, structure and content, it is easy to lead to inaccurate data extraction and affect the accuracy of audit results.
2. Telecom companies have a large number of customer and business data, which is very time-consuming and consumes a lot of computing resources. For large-scale audit tasks, technologies such as distributed computing or cloud computing are often needed to improve processing speed and efficiency.
3. Intelligent audit of telecom enterprises requires auditors to have rich business knowledge and it skills, and be familiar with relevant laws, regulations and industry standards. At present, there is a lack of relevant talents in the market, which makes it difficult to meet business needs.
4. In the process of intelligent audit, a lot of customer privacy data will be involved, including call records, online records, address information, etc. Therefore, when collecting, storing and processing these data, security measures must be strengthened to avoid the risk of leakage.