The General Office of the Communist Party of China Central Committee and the General Office of the State Council recently issued the "Opinions on Accelerating the Development and Utilization of Public Data Resources", which for the first time systematically deploys the development and utilization of public data resources from the central level. This is of great significance for building specialized, diversified, and integrated data application scenarios, and helps accelerate the release of the essential value of public data, providing strong support for building a smooth and orderly system for the development and utilization of public data resources.
As a financial technology platform, Financial One Account has launched an E-evidence solution that integrates advanced technologies such as cloud phones, intelligent AI, and big data analysis to securely, compliantly, reliably, and intelligently collect personal income tax, housing provident fund, income, consumption records, and other data. This provides a favorable operating environment for financial institutions to improve the compliance and security of personal data access, actively expand personal credit business, and help promote the stable development of the real economy.
Public data has always been characterized by large volume, good quality, high value, and strong driving force. Expanding the application scenarios of data is conducive to promoting the market-oriented allocation of data elements. With the increasingly widespread application of data in financial business, more and more banks and other financial institutions have introduced advanced technologies such as big data analysis as an important foundation for driving the iterative upgrading of decision-making efficiency in personal retail credit business. However, in the practical operation process, how to ensure the authenticity of data, how to improve the efficiency of data governance, and how to ensure the compliance of the data acquisition process have caused considerable headaches for many financial institutions. More and more banks are realizing that to address the above challenges, in addition to enhancing their own standardized process transformation, they also need to introduce licensed data processing institutions to further ensure the compliance of data retrieval and processing operations.
In this context, the Financial One Account E-evidence solution (hereinafter referred to as "E-evidence") has also received high praise from financial institutions for its ability to solve pain points. On the one hand, it provides a trusted environment where users can obtain and report data on their own, ensuring that the user's operating environment meets the requirements of security and trustworthiness; On the other hand, during the data reporting process, the E-evidence cloud environment/localized storage of financial institutions ensures the credibility of the data acquisition and storage process. At the same time, it also supports the introduction of cooperation partners such as notary offices and personal credit reporting companies to enhance the compliance and security of overall business operations.
In addition, E Forensic adopts technology such as data isolation and cloud mobile phones to ensure the privacy of users' on-demand access to data, while not retaining any user data itself.
At present, the types of personal public data that E Forensic can access are increasing, including personal tax, provident fund, WeChat Alipay bills, the flow of large state-owned banks and some joint-stock banks, domestic education certification, Zhima points, WeChat payment points, Huabei borrowing and lending microparticle credit lines, etc., which are widely used in many banks, licensed consumer finance companies, financial leasing companies, Internet financial platforms, loan assistance companies' personal consumption loans, personal business loans, credit card businesses, personal housing loans, corporate loans and personal credit status queries, and other business scenarios, as an important decision-making basis for these financial institutions' customer screening, credit approval, credit increase and withdrawal, post loan early warning and customer recovery.
With the increasing popularity of privacy computing technology in personal information security protection, E-forensics is actively adopting methods such as data anonymization, differential privacy, homomorphic encryption, etc., to further enhance the privacy and security of the process on the existing basis. By continuously improving the Trusted Execution Environment (TEE), it builds stronger compliance and security in data retrieval.