《证券期货业业务域数据元规范?第5部分：企业资产证券化业务》建立了一套适用于企业资产证券化业 务全生命周期的数据元规范。该标准的制定实施将为证券期货行业机构提供企业资产证券化业务数据领 域的实用通用规范，旨在巩固行业数据治理基础、推动行业信息高效共享，助力构建高质量、数字化的 资本市场。 《期货公司监管数据采集规范?第2部分：资产管理业务》规范了期货公司资产管理业务数据要素的业务 定义、数据类型。该标准的制定实施有利于提高行业数据治理水平和监管数据标准化程度，明确监管数 据采集标准，推动监管数字化、智能化转型。 （原标题：证监会：推进资本市场数字化建设 三项金融行业标准即日起施行） 证券时报记者 程丹 10月10日，证监会发布《证券期货业业务域数据元规范?第4部分：证券交易所》《证券期货业业务域数 据元规范?第5部分：企业资产证券化业务》《期货公司监管数据采集规范?第2部分：资产管理业务》三 项金融行业标准，自公布之日起施行。 具体来看，《证券期货业业务域数据元规范 第4部分：证券交易所》规范了我国证券交易所业务相关数 据项的业务分类、名称、业务含义、数据类型和长度等属性要素，为证券期货行业机构开展相关数据建 ...

据证监会网站10月10日消息，近日，证监会发布《证券期货业业务域数据元规范第4部分：证券交易 所》《证券期货业业务域数据元规范第5部分：企业资产证券化业务》《期货公司监管数据采集规范第2 部分：资产管理业务》3项金融行业标准，自公布之日起施行。 证监会表示，下一步，将持续做好数据治理和业务服务标准制定工作，有序推进资本市场信息化数字化 建设，不断夯实科技监管基础。 《期货公司监管数据采集规范第2部分：资产管理业务》规范了期货公司资产管理业务数据要素的业务 定义、数据类型。该标准的制定实施有利于提高行业数据治理水平和监管数据标准化程度，明确监管数 据采集标准，推动监管数字化、智能化转型。 《证券期货业业务域数据元规范第4部分：证券交易所》规范了我国证券交易所业务相关数据项的业务 分类、名称、业务含义、数据类型和长度等属性要素，为证券期货行业机构开展相关数据建设和应用实 践提供必要指导。该标准的制定实施有助于规范数据加工存储、提升数据流通效率，在强化关键领域信 息披露的同时加快推进行业数字化转型。 《证券期货业业务域数据元规范第5部分：企业资产证券化业务》建立了一套适用于企业资产证券化业 务全生命周期的数据元规范 ...

Core Viewpoint - The article highlights the increasing complexity and severity of illegal financial activities and the measures taken by the Qingdao Financial Regulatory Bureau to combat these issues through a comprehensive and coordinated approach [2][3][4]. Group 1: Illegal Financial Activities - Illegal financial activities are evolving with new scams and techniques, making prevention and enforcement more challenging [2]. - A recent incident involved two clients attempting to invest in a suspicious financial product with a claimed annualized return four times that of bank deposits, which was identified as potentially fraudulent [1]. Group 2: Regulatory Measures - The Qingdao Financial Regulatory Bureau has established a "four-in-one" system for combating illegal financial activities, focusing on mechanism construction, digital empowerment, joint disposal, and public education [2]. - A dedicated task force has been formed to enhance the clarity of responsibilities and execution in combating illegal financial activities, achieving full coverage of local leadership groups [2]. Group 3: Monitoring and Prevention - The bureau has implemented a digital transformation to improve the identification of illegal financial activities, utilizing data mining and monitoring models to screen suspicious accounts and transactions [3]. - Over 3,635 suspicious accounts and 12 million transaction records have been screened, involving a total of 8 billion yuan [3]. Group 4: Community Engagement and Education - The bureau has actively participated in local government initiatives to monitor and address illegal financial activities, conducting 21 community sweeps and identifying 16 risk clues [4]. - Public education campaigns have been launched to enhance financial literacy and risk awareness among consumers, utilizing both online and offline platforms for effective outreach [4].