DGOffice数据标准中心
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DGOffice数据标准中心在数据资产管理的基础上实现数据标准的信息管理，沉淀并在系统内置了行业发布的数据标准信息，为企业的数据标准管理提供赋能，利用DGOffice智能化引擎AI-DG提供的标准提炼能力，可在标准落标检查的基础上结合数据的特征实现标准的智能化推荐，提升企业数据标准的管理能力，通过数据治理内的协同能力，数据标准为数据质量的构建提供规则支撑，可快速将标准转化为数据质量规则，在数据质量监控的基础上完成数据标准落标的快速检查。我们的DGOffice标准中心可以提供各行业权威发布数据标准信息，智能化能力实现数据标准推荐、审核、发布、落标在线化、协同化管理，建立企业规范的数据应用标准，保证数据质量准确、可操作、有价值，提升企业整体数据标准管理能力，并实现数据有效共享。 功能及优势 1、标准向导式管理流程：灵活定制数据标准管理流程，提供企业标准管理、标准应用、数据核标、指标体系管控等标准化工作。2、行业标准库沉淀：提供多行业权威数据标准规则，智能化快速构建企业标准管理能力。3、智能化标准推荐：利用机器学习，智能化提炼企业数据标准模版，自动推荐标准管理员做进一步的确认与管理动作，减少人工投入。4、与数据质量以及数据资产形成联动管理：基于数据标准，制定数据质量系统检核规则。5、周期化落标检核及提醒： 通过人工触发或周期性规则配置方式实现所管理标准在企业系统落标符合性的检查并输出落标检查报告。 场景及价值 ○ 通过数据内容识别与数据资产业务知识进一步识别出数据标准，推荐给标准管理员做进一步的确认与管理动作。○ 收集各行业公开的数据标准资料包括政府机关等单位，并预置在系统内为企业提供赋能。○ 系统可通过人工触发或者周期性规则配置的方式实现所管理标准在企业内各系统落标符合性的检查，可输出检查报告。○ 统一的数据标准体系：利用智能化引擎AI-DG提供的标准提炼能力，结合数据特征实现统一数据标准体系。○ 有效协同各部门统一数据定义和使用一致性：智能化匹配业务场景的数据标准信息，有效统一部门间对数据的利用效力。
The DGOffice Data Standard Center realizes information management of data standards based on data asset management. It accumulates and pre-installs industry-published data standard information in the system, empowering enterprises' data standard management. Leveraging the standard extraction capability provided by DGOffice's intelligent engine AI-DG, it can achieve intelligent recommendation of standards based on data features on the basis of standard compliance inspection, thereby improving enterprises' data standard management capabilities. Through the collaboration capabilities within data governance, data standards provide rule support for data quality construction, and can quickly transform standards into data quality rules, completing rapid inspection of data standard compliance based on data quality monitoring. Our DGOffice Standard Center can provide authoritative industry-published data standard information. Its intelligent capabilities realize online and collaborative management of data standard recommendation, review, release and compliance, establish enterprise-standardized data application standards, ensure that data quality is accurate, operable and valuable, improve the overall data standard management capabilities of enterprises, and realize effective data sharing. Functions and Advantages 1. Wizard-based standard management process: Flexibly customize the data standard management process, and provide standardized work such as enterprise standard management, standard application, data standard verification, and indicator system control. 2. Accumulation of industry standard libraries: Provide multi-industry authoritative data standard rules, and quickly build enterprise standard management capabilities intelligently. 3. Intelligent standard recommendation: Use machine learning to intelligently extract enterprise data standard templates, and automatically recommend standard administrators to carry out further confirmation and management actions, reducing manual input. 4. Linked management with data quality and data assets: Formulate data quality system inspection rules based on data standards. 5. Periodic compliance inspection and reminder: Implement compliance inspection of managed standards in enterprise systems and output compliance inspection reports through manual triggering or periodic rule configuration. Scenarios and Values ○ Further identify data standards through data content recognition and data asset business knowledge, and recommend them to standard administrators for further confirmation and management actions. ○ Collect public data standard materials from various industries including government agencies, and pre-install them in the system to empower enterprises. ○ The system can realize the compliance inspection of managed standards in various enterprise systems through manual triggering or periodic rule configuration, and can output inspection reports. ○ Unified data standard system: Leverage the standard extraction capability provided by the intelligent engine AI-DG to realize a unified data standard system by combining data features. ○ Effectively coordinate all departments to unify data definitions and usage consistency: Intelligently match data standard information for business scenarios, effectively unifying the utilization efficiency of data among departments.
