用数据打造信任：第三方企业征信机构如何激活企业信用价值

Core Insights - The article emphasizes the importance of data in defining credit value, which is fundamental to modern business operations. The ability to collect and interpret data accurately is crucial for creating a reliable "credit profile" [1] Group 1: Data Integration and Governance - The company integrates various dynamic indicators such as business registration, judicial, tax, and bank transaction data to create a comprehensive corporate profile. This process involves standardization and governance to ensure high-quality credit reports that serve as authoritative "credit certificates" [3] Group 2: AI and Risk Management - By utilizing advanced models like DeepSeek R1 and dynamic knowledge graph technology, the company enhances risk identification and credit scoring. The model's optimization allows for real-time updates and alerts, improving fraud detection and approval efficiency, particularly for small and micro enterprises lacking traditional collateral [4] Group 3: Data Security and Value Realization - The company employs blockchain and privacy computing technologies to ensure data security and traceability, enabling a full-service loop from assessment to empowerment. This approach allows for the transformation of data resources into compliant "data assets," facilitating the conversion of credit into a driving force for business development [6]