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广州数据交易所：构建数据交易全链条服务体系 助推金融业高质量发展
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目前，广州数据交易所已按照数据资源化、产品化、资产化、资本化的完整链路构建起一套涵盖企业数据资产管理各阶段的实施路径。沈海介绍，首先要引导企业经由数据治理、资源盘点与质量管理，达成数据资源化；继而通过数据合规管理、产权登记及应用场景开发，实现数据产品化；随后借助数据交易与资产入表，完成数据资产化；最终以数据资产投融资等手段，推动数据资本化。他认为，通过产权登记明确数据权属关系，既可增强数据交易可信度，使金融机构在获取和使用数据时更加确信数据的来源和合法性，避免权属纠纷，降低法律风险，也可获得数据产权登记证书，作为企业融资增信的依据，拓宽企业融资渠道，促进数据要素市场的繁荣。
以广州数据交易所为例，在合规保障方面，其建立了数据流通交易全生命周期安全管控制度体系，强化数据安全、产品安全、系统安全、生态安全管控措施，同时搭建起数据交易分级分类标准、数据质量管理、数据资产管理等数据全生命周期安全管理体系。
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发展新兴数据产业，是发展新质生产力、塑造发展新动能新优势、促进数据要素价值释放的需要。在权属与安全的责任前提下，数据流通一般没有地域限制，数据价值的开发利用也是一种发散而连绵不绝的过程，价值链随着研发、运用的场景变化而不断延伸。数据产业的空间之所以大，也正是因为场景开发可以遍地开花，是一种想象力大爆发带来的数字生产力使然。而场景创新的主要目的，其实是把人、机器、产品、服务以及情感，进行跨领域、跨时空的聚集、融合，从而实现生产流程再造和产业形态重塑，推动资金、人才等传统要素和新兴数据要素价值跃升。
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同时，广州数据交易所贯彻落实《行动计划》提出的“以推进数据要素协同优化、复用增效、融合创新作用发挥为重点”的指导思想，通过构建全链条服务体系，着力促进金融领域释放数据乘数效应。
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然而，基础制度建设的滞后性日益凸显——数据确权机制尚未贯通，导致机构数据“不愿供”；数据流通交易规则仍以各地分散探索为主，市场定价与安全互信机制仍待完善，数据产品“流不动”的困局持续存在。以上种种因素，严重削弱了金融机构在风险定价、精准营销和产品创新等方面发挥数据要素驱动作用，也阻碍了金融资源配置效率和数字化风控水平的提升。
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具体而言，在协同优化方面，广州数据交易所通过数据分析，推动金融机构更精准地把握市场需求和资源供给的变化，实现资源的最优配置，从而提升整体运营效率。
此次，每日互动参与全国首单获批的数据资产证券化项目，再次验证了公司数据资产的价值和资本市场的认可度。通过此次数据资产证券化项目，每日互动不仅成功拓宽了公司的融资渠道，更进一步向资本市场彰显了公司数据资产的可靠性和增值潜力。
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