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云南信托数据信托产品荣获“金禧奖・2025优秀产品开发能力奖”
Jin Rong Jie· 2026-01-16 10:10
近日,由标点财经研究院联合《投资时报》、投资时间网主办的2025第八届金禧奖年度评选活动揭晓了"2025年度金禧奖"的获奖名单。云南信托于 2025年5月落地的全国首例实质性运营数据信托产品荣获"2025优秀产品开发能力奖"。 数据信托的制度优势有助于数据确权,有助于保障受益人利益,有助于数据要素的收益分配。在信托模式下,数据持有人实现持有权、加工使用 权、数据产品经营权等分置的产权运行机制,激活数据要素价值创造和价值实现,实现多方互利共赢。 数据信托业务是数据资产、信托服务、金融科技的深度结合,云南信托在信托业务新分类导向下,将继续加速科技赋能资产服务信托转型,并依托 自身在云计算、区块链等金融科技方面的多年经验储备,为数字金融和实体经济发展做出贡献。 银行频道更多独家策划、专家专栏,免费查阅>> 北京中数登数据服务有限公司为数据资产运营服务商,由中宏大数据数字经济研究院首席专家,全国中小城市数字经济研究院副院长、首席专家何 一峰、胡澄宇等共同发起,致力于政府和企业数据的综合利用开发,拥有数据资产入表、运营及产业大脑研发、数字经济产业园顶层设计的丰富经 验和数十个成功案例,多次参与数据资产行业标准的制定,是 ...
深入推进数字中国建设 信托业奔赴千亿级数据要素新蓝海
2 1 Shi Ji Jing Ji Bao Dao· 2025-12-04 04:07
Core Insights - The article discusses the awakening of dormant public data value in the digital economy, exemplified by the launch of the "Beifang Trust·Tianjin Public Transport Smart Data Asset Service Trust" which aims to create a financial loop through public transport data to support "driverless" initiatives [1][3] Group 1: Data Asset Trusts - The Tianjin Public Transport Digital Asset Trust transforms public transport data into measurable, tradable, and value-added assets, with the support of the Tianjin Data Asset Registration and Evaluation Center [3] - Beifang Trust uses the trust beneficiary rights as collateral to provide funding for the Tianjin Public Transport Group, which is developing the city's first "driverless" bus line [3] Group 2: Market Potential - China's data factor market has surpassed 100 billion yuan, with projections to reach 500 billion yuan by 2030, driven by a compound annual growth rate of over 25% from 2017 to 2022 [4] - The government's policies, including the "14th Five-Year Plan" and the National Development and Reform Commission's guidelines, are encouraging innovation in data trusts and financial products [4][5] Group 3: Trust Industry Transformation - The trust industry is transitioning from being merely a "funding channel" to focusing on wealth and asset management, necessitating enhanced service capabilities [5][9] - Data trusts are seen as a significant innovation direction for the trust industry, with broad business prospects under the new classification standards [5] Group 4: Challenges and Solutions - The main challenges in data assetization include unclear ownership, lack of valuation standards, and inadequate regulatory frameworks [9] - The trust mechanism offers unique advantages in data ownership, valuation, and circulation, addressing issues of ownership independence and flexible distribution of benefits [9][10]