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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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Procedure effectiveness has appreciably lowered. Prior to purchasing guidance, consider the free of charge options I’ve outlined and Look at if your Microsoft 365 membership involves assistance benefits.
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报告显示，数据产品交易市场的透明度有待提高，信息披露仍需要继续完善，尤其在价格方面，大部分产品没有公开具体的价格，也没有明确的计费标准；数据使用规范性仍需加强，市场活跃度有待提升。此外，各交易机构对数据产品的理解把握和引导作用显著，产品中“数据”的浓度普遍较高，但同时也存在部分数据产品存在过于追求上架产品数量、将完整产品拆分成多个子产品的情况。
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在数据价值挖掘方面，通过与金融机构合作，挖掘数据在金融领域的应用场景和价值，并运用数字技术将原始数据转化为有价值的产品和服务，提供风险评估、客户画像、市场预测等创新点，满足金融机构需求。
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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报告建议，数据产品交易市场需要构建市场驱动的透明生态，建立统一规范的基本信息披露标准。各指标之间的相关性表明，在公开交易平台上，越是回归数据要素价值本义的产品，对包括价格在内的信息披露态度会越开放，也更容易寻找到可落地的应用场景和市场空间。在数据交易机构的进场监管下，数据产品均已经过严格的合规审核，进一步规范信息披露机制，有助于与潜在需方达成有效沟通，推动形成“越透明越增值”的正向循环。
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广州数据交易所副总经理沈海认为，数据交易所承担着包括数据合规交易保障者、数据资源整合者、数据流通与开发利用促进者、数据流通基础设施建设者、数据产业市场认知培育者在内的多重责任，要通过提供安全、高效、合规的数据交易平台，促进数据要素的流通和价值释放。
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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在完成数据产权登记试点的基础上，广州数据交易所依托自身专业服务能力，助力央国企、民营企业规范开展数据资源入表工作，先后参与了多项数据资产化相关研究项目，并通过培训、完善数据资产登记交易机制等措施，深化市场对数据资源入表的理解，助力企业实现数据资源从“无形资产”到“合规资产”的转化，为数据要素市场化配置提供了可复制、可推广的实践经验。
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在数据价值挖掘方面，通过与金融机构合作，挖掘数据在金融领域的应用场景和价值，并运用数字技术将原始数据转化为有价值的产品和服务，提供风险评估、客户画像、市场预测等创新点，满足金融机构需求。
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作为国家数据要素综合试验区之一，算力优势必须切实转化为产业优势，这也是贵州发展新兴数据产业的必然要求。目前，贵州正在探索符合区域特点的数据价值释放路径，通过“数据要素×”等方式进一步激发经营主体活力，培育了贵阳大数据交易所、数据宝、迦太利华、梦动科技等数据企业，希望壮大数据要素市场，“打造释放数据价值的标志性成果”，为西部地区推进数据要素市场化配置改革提供经验借鉴。
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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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