Through the use of technology, audit workflows and monitoring rules are configured to dynamically track and analyze business data. This approach helps prevent oversights resulting from untimely audits or internal control lapses, which could lead to significant regulatory penalties. Furthermore, it enhances the analysis of audit outcomes, providing valuable support for clients' subsequent decision-making and business improvement efforts.

The audit data mart system introduced a risk-oriented audit methodology, enabling the automatic collection, aggregation, evaluation, analysis, and monitoring of various business data according to established business monitoring standards. It automatically generates predictive insights and early warning alerts, offering leads, samples, and documentation for audit projects.

Following the successful launch of the project, the client's audit and monitoring departments were able to identify audit priorities and determine audit frequencies more scientifically, allocate limited audit resources to high-risk areas of the business, and achieve greater standardization, digitalization, and intelligence in audit management. This has helped the client build a more rigorous, timely, and effective risk monitoring framework for their financial institution.