DGOffice数据质量中心
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DGOffice数据质量中心是针对企业信息质量的平台,为数据管理者提供企业级数据质量解决方案；通过数据质量系统,可便捷的使用规则模版复制、批量导入、智能规则识别、推荐等功能，实现规则的快速配置，有效降低数据质量配置的时间；数据质量管理系统提供灵活的异常明细派单策略，可实现数据级质量工单的自动生成、派发管理，形成闭环的数据质量管理能力；数据质量中心，可帮助企业获取高质量的数据资产、丰富的上下文信息，同时也为企业数据资产提供丰富的质量管理信息，为系统使用人员提供全方位立体的知识体系信息。数据质量中心，以企业元数据为检核对象，利用自动检索能力，对目标数据进行智能化审核，并形成质量清单，对问题数据进行溯源及影响分析，形成质量报告，真正实现从数据识别到整改全流程管理，为企业构筑全面数据质量管理体系。 功能及优势 1、丰富的质量评价模版：提供各行业通用质量评价模板，自动快速完成企业数据质量规则导入，降低企业数据质量配置时间50%。2、灵活的派单策略管理：提供满足企业业务需求质量异常数据派发流程制定和管理，建立异常数据反馈机制。3、业务域质量问题分析：可提供企业各业务域质量问题影响分析、追溯分析，将数据质量问题与业务问题相结合，提高数据质量。4、与资产系统融合：企业资产管理与质量系统集成后可查阅检核对象数据质量情况，更全面的展示资产信息。5、AI智能赋能效率提升：多场景引入智能化能力，实现数据质量规则自动识别和推荐、异常数据智能纠错建议等。 场景及价值 ○ 建立完备的数据质量体系：帮助企业建立数据质量管理体系，实现数据质量问题从识别、分析、整改、评价的闭环式管理。○ 企业数据合规管理：应对监管需要，对企业监管数据进行质量管控，保障企业合规管理。○ 与数据资产充分融合：实现与企业数据资产融合管理，充分发挥资产管理对数据质量工作的促进协同。○ 多维度质量分析提升管理效率：基于检核对象、质量规则、专题等多维度质量评价和分析，提高决策分析效率。○ 适用于多场景的智能化能力：引入智能化技术，在多场景下提升数据质量管理工作效率、水平。
DGOffice Data Quality Center is an enterprise-level information quality platform that provides enterprise-grade data quality solutions for data managers. Through the data quality system, users can conveniently use functions such as rule template copying, batch import, intelligent rule recognition and recommendation to quickly configure rules, effectively reducing the time spent on data quality configuration. The data quality management system provides flexible exception detail dispatching strategies, which can automatically generate and distribute data-level quality work orders, forming a closed-loop data quality management capability. The data quality center can help enterprises obtain high-quality data assets and rich contextual information, while also providing rich quality management information for enterprise data assets, and providing system users with a comprehensive three-dimensional knowledge system. Taking enterprise metadata as the inspection object, the data quality center uses automatic retrieval capabilities to conduct intelligent audits on target data, form a quality list, trace and analyze the impact of problematic data, and generate quality reports, truly realizing full-process management from data identification to rectification, and building a comprehensive data quality management system for enterprises. Features and Advantages 1. Rich Quality Evaluation Templates: Provides universal quality evaluation templates for various industries, automatically and quickly completes the import of enterprise data quality rules, reducing enterprise data quality configuration time by 50%. 2. Flexible Dispatching Strategy Management: Provides the formulation and management of quality abnormal data dispatching processes that meet enterprise business needs, and establishes an abnormal data feedback mechanism. 3. Business Domain Quality Problem Analysis: Can provide impact analysis and traceability analysis of quality problems in various business domains of the enterprise, combine data quality problems with business problems, and improve data quality. 4. Integration with Asset System: After the integration of enterprise asset management and quality systems, users can view the data quality status of inspection objects, and display asset information more comprehensively. 5. AI Empowerment for Efficiency Improvement: Introduces intelligent capabilities in multiple scenarios, realizing automatic identification and recommendation of data quality rules, intelligent error correction suggestions for abnormal data, and other functions. Scenarios and Values ○ Establish a Complete Data Quality System: Help enterprises establish a data quality management system, and realize closed-loop management of data quality problems from identification, analysis, rectification to evaluation. ○ Enterprise Data Compliance Management: Respond to regulatory requirements, conduct quality control on enterprise regulatory data, and ensure enterprise compliance management. ○ Full Integration with Data Assets: Realize integrated management with enterprise data assets, and give full play to the promotion and synergy of asset management for data quality work. ○ Multi-dimensional Quality Analysis Improves Management Efficiency: Carry out multi-dimensional quality evaluation and analysis based on inspection objects, quality rules, topics, etc., to improve decision-making and analysis efficiency. ○ Intelligent Capabilities for Multi-scenario Applications: Introduce intelligent technologies to improve the efficiency and level of data quality management work in multiple scenarios.
