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解决企业数据“存”、“通”、“用”难题,让一切业务数据化,一切数据应用化

一、全域数据采集与引入 以需求为驱动,以数据多样性的全域思想为指导, 采集与引入全业务、多终端、多形态的数据。

二、标准规范数据架构与研发 统一基础层、公共中间层、百花齐放应用层 的数据分层架构模式,通过数据指标结构化规范化的方式实现指标口径统一。

三、连接与深度萃取数据价值 形成以业务核心对象为中心的连接和标签体系, 深度萃取数据价值

四、统一数据资产管理 构建元数据中心,通过资产分析、应用、优化、运营四 方面对看清数据资产、降低数据管理成本、追踪数据价值。

五、统一主题式服务 通过过构建服务元数据中心和数据服务查询引擎,面向业务统 一数据出口与数据查询逻辑,屏蔽多数据源与多物理表。

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