金融可信数据空间
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建立健全安全高效的金融可信数据空间
Jin Rong Shi Bao· 2025-12-01 03:33
Core Viewpoint - The construction of a trusted financial data space is essential for ensuring the secure and efficient flow of financial data, enhancing financial services, and supporting the high-quality development of China's financial sector [1][2][16]. Group 1: Necessity of Building a Trusted Financial Data Space - A trusted financial data space provides a credible circulation environment for the market-oriented allocation of financial data elements, enabling orderly value flow while ensuring data remains within its domain [2]. - The rapid digital transformation in finance has led to an increased demand for data sharing and circulation, necessitating a robust framework for data governance and security [2][3]. - The establishment of a trusted financial data space is crucial for optimizing the allocation of financial data elements, addressing issues such as unclear data ownership and lack of pricing mechanisms [2]. Group 2: Security and Risk Management - The trusted financial data space emphasizes privacy protection, utilizing advanced technologies like privacy computing and blockchain to ensure secure and controllable use of financial data [3][6]. - It aims to prevent cross-financial risks through a robust technical foundation that allows for the secure extraction of data value while maintaining data confidentiality [3][6]. Group 3: Supporting Financial Development Initiatives - The trusted financial data space is integral to the successful implementation of key financial initiatives, including technology finance, green finance, inclusive finance, pension finance, and digital finance [3][7]. - It facilitates the integration of data across various sectors, enhancing the ability to assess project benefits and optimize financial services [3][7]. Group 4: Infrastructure and Technological Framework - The trusted financial data space is characterized by a complex ecosystem that integrates advanced technologies, unified standards, and effective governance to provide secure and efficient data circulation services [4][10]. - It relies on a distributed architecture that ensures data authenticity and integrity during cross-institutional flows, supporting innovative business scenarios like cross-border payments and green finance [5][10]. Group 5: Implementation Pathways - The construction of a trusted financial data space requires a phased approach, focusing on high-value scenarios to establish benchmarks and drive broader adoption [8][15]. - Emphasis is placed on building core capabilities and fostering collaboration among various stakeholders to ensure the effective utilization of data resources [8][15]. Group 6: Governance and Regulatory Framework - A multi-faceted governance ecosystem is necessary to clarify the roles and responsibilities of various stakeholders, ensuring effective data sharing and compliance with regulations [14][15]. - The establishment of a clear standard system is crucial for guiding participants in the trusted financial data space, promoting orderly evolution from isolated breakthroughs to coordinated development [11][14].
联信数科打造金融可信数据空间,赋能“融沂通”破解融资难题
Sou Hu Cai Jing· 2025-09-23 06:50
Core Viewpoint - In the digital economy era, data has become a crucial production factor, especially in the financial sector, where secure and efficient data circulation and utilization are key to driving digital transformation [1] Group 1: Financial Trustworthy Data Space - Shandong Lianxin Digital Technology Co., Ltd. has developed a financial trustworthy data space centered around the "Rongyitong" platform, aiming to inject new momentum into regional financial services [1] - The company has established a "1+3+N" architecture for the trustworthy data space, where "1" refers to a financial big data hub platform, "3" represents three core capabilities: trustworthy control, resource interaction, and value co-creation, and "N" covers various financial scenarios such as credit risk control and regulatory technology [1] Group 2: Technological Integration - The company utilizes cutting-edge technologies such as privacy computing, blockchain, and artificial intelligence to create a comprehensive technical system covering data collection, governance, circulation, and application, ensuring data is "available but not visible, traceable and auditable" [1] - Privacy computing enables data circulation without leaving the domain, ensuring data security and privacy compliance from the source [2] - Blockchain technology establishes a trustworthy circulation chain by providing full-process evidence for data authorization, access, and usage, creating an immutable log that supports clear data ownership and controllable circulation [3] Group 3: Data Governance and Resource Management - The company has built a high-quality resource library encompassing 701 data items and 1.671 billion data records, breaking down data silos through unified identity authentication and resource directory [4] - The "Rongyitong" platform has achieved significant results, including supporting 59,179 loans totaling 86.371 billion yuan for small and micro enterprises and providing credit evaluation services for 1.5 million market entities [5] Group 4: Future Development and Expansion - The company employs a "government-led + market-oriented operation" mechanism to ensure compliant use of public data while achieving sustainable development through data services and model development [5] - As one of the first data open innovation application laboratories in Shandong Province, the company aims to promote the trustworthy data space model to more regions and scenarios, focusing on applications in industrial finance, rural finance, and green finance [5] - By integrating technological capabilities with practical scenarios, the company is becoming a key driver in the construction of trustworthy financial data spaces, supporting the market-oriented allocation of data elements and the high-quality development of digital finance [5]