金融数据带来的价值已逐渐凸显,金融数据要素将成为金融业数字化转型的关键支撑力和重要驱动力。本报告描述了近年来金融数据要素在有序共享和综合应用方面的行业现状和特点,详细介绍了基于密码学安全的多方安全计算,基于统计学安全的联邦学习和基于硬件安全的可信执行环境等目前主流的隐私保护计算技术。通过金融反诈应用、集团高净值客户资产总额联合探查应用、教培资金监管应用、政务金融数据共享联合风控实践等数据融合的优秀案例和成果,阐述如何利用数据和技术手段强化金融与公共服务领域数据综合应用,赋能金融业务高质量发展。本报告还分析了当前金融数据要素共享和应用遇到的“不敢”“不愿”“不会”三方面难点,并提出应对策略,展望金融数据要素共享与综合应用的发展方向。
<<The value of the financial industry relying on big data applications has gradually become prominent,and financial data elements will become the key support and important driving force for the digital transformation of the financial industry. This paper describes the industry status and characteristics of orderly sharing and comprehensive application of data elements in recent years,and introduces in detail the current mainstream privacy-preserving computing technologies,including cryptographically secure technologies such as multi-party secure computing,statistically secure technologies such as federated learning,and hardware-based trusted execution environment. Through the excellent cases and achievements of data fusion,such as financial anti-fraud applications,applications for joint exploration of the total assets of high-net-worth clients of the group,applications for supervision of education and training funds,joint risk control practices for government and financial data sharing. This report expounds the use of data and technical means to strengthen the comprehensive application of data in the field of finance and public services,and enable the high-quality development of financial business. This report also analyzes the three difficulties and countermeasures encountered in the current sharing and application of financial data elements,including “dare not”,“unwilling” and “unable” sharing,looks forward to the next development direction of the application of financial data elements.
<<Keywords: | Data FusionPrivacy-preserving ComputingOrderly Sharing of DataComprehensive Application of Data |