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此外，广州数据交易所还积极联合数据企业与金融机构，通过与产业需求精准对接，开发出一系列独具特色的金融数据产品，充分发挥数据要素与金融服务双驱动作用，赋能实体经济发展。
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基于规范高效的数据交易平台体系以及系列创新服务平台，围绕数据交易流通中的“数据要素×金融服务”创新实践，目前广州数据交易所多款产品已在金融场景广泛应用。
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贵数所对上架产品的信息披露更为公开透明。据贵数所公开的产品类型信息，数据产品、算法模型、算力基础设施三类产品占比较多，也从侧面反映出贵数所将贵州本地的算力产业优势与数据交易市场进行了有效衔接。
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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。
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报告根据国家数据局对于“数据产品”概念的解释，结合数据要素属性和交易特性，通过两级指标进一步细化了评估维度。
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本专区向证券公司、基金管理公司等市场参与者提供证券交易相关的技术支持，包括交易技术方面的最新通知、前端报盘程序、接口指引文档、服务联系方式等；同时提供“证券信息技术研发中心（上海）”的技术期刊等技术交流内容。
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在复用增效方面，促进金融机构之间数据的互联互通，促进数据的复用和共享，形成风险管理、客户服务等方面的协同效应，降低金融机构的信息获取成本，提高数据使用的效率和准确性，进而提升整体服务水平。
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。
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