image_1.pngCopyright©2024 Yonyou Group All Rights Reserved.Without the written permission of Yonyou Group, no part of this user manual may be copied, reproduced, translated, or reduced for any purpose. The content of this user manual may change without notice, please stay informed.Please note: The content of this user manual does not represent a commitment made by Yonyou Network.OverviewApplication OverviewData governance products are designed to provide clients with governance services throughout the entire lifecycle of relevant data. During the project planning phase, they assist enterprises in establishing relevant data standards and various specifications, supporting clients in building data governance organizations and online process systems; during the project implementation phase, they help development teams model and develop data indicators according to unified standards; during the project operation phase, they assist data departments in clarifying the distribution of data assets within the enterprise, enabling users to independently inventory, analyze, and utilize data assets, while continuously improving the quality level of organizational data assets through data quality functions.image_2.pngApplication ValueThe UFIDA data governance product is a one-stop data full lifecycle management and governance platform based on data lake and data weaving technology. It aims to help customers unify data standards, improve data quality, create a metadata catalog, and share services, with the ultimate goal of enhancing the utilization value of data assets.Yonyou's data governance product supports multiple heterogeneous data sources and can establish virtual connections between data. The product automatically discovers the lineage of data and conducts audits and verifications based on unified quality standards, thereby building secure and trustworthy data assets. At the same time, users can also create new data assets in a self-service manner based on data weaving technology, supporting various data applications.Standardized data standards management;Support multiple types of data standards, allowing data to have a "law" to follow;Built-in multi-industry data standard models, ready to use out of the box;Support standard modeling and mapping of drop labels;Rich metadata management;Support for metadata collection from diverse data sources;An overview of business metadata, technical metadata, and management metadata;Visual display of table/field/process lineage graph for convenient metadata version management, allowing traceability of the entire evolution process and clarifying the differences between versions.Flexible data quality management;Built-in 40+ quality inspection rules, supporting cross-database, cross-table, and multi-field definition of audit rules;View graphical quality report;Support traceability of quality issues;Support quality inspection of massive data.Secure Data Asset Management;Browse data assets from the business perspective, technical perspective, and organizational perspective;Supports various types of custom asset tags;Configurable registration, publishing, and use of shared approval processes;Connect data services and intelligent analysis asset application scenarios.Application ScenariosScenario 1: Data Tagging MappingBusiness DescriptionIn the data planning phase, enterprises or organizations often establish data standards that align with their actual situations. However, during the actual project development process, whether these standards are applied is usually a concern for data management personnel. The Yonyou data governance product combines data standards and metadata management functions to achieve automated verification from standards to implementation, meeting the data standardization control needs of enterprises or organizations.Business Processimage_3.pngApplication ListData Platform - Data Governance - Data Standards - Code TableData Platform - Data Governance - Data Standards - Rule TemplateData Platform - Data Governance - Data Standards - Latest StandardsData Platform - Data Governance - Data Standards - Finalized StandardsData Platform - Data Governance - Metadata Management - Latest MetadataData Platform - Data Governance - Metadata Management - Versioned MetadataScenario 2: Publishing Data AssetsBusiness DescriptionA large amount of data owned by enterprises or organizations is scattered across different information systems, making centralized management and retrieval impossible. The data asset feature of the Yonyou data governance product allows users to retrieve data assets within the enterprise or organization from business, technical, and management perspectives by adding various asset tags based on the metadata of information systems or models within data development. This aims to achieve centralized control, utilization, and sharing of data.Business Processimage_4.pngApplication ListData Platform - Data Governance - Metadata Management - Latest MetadataData Platform - Data Governance - Metadata Management - Versioned MetadataData Platform - Data Governance - Data Assets - Asset CatalogOperation GuideData StandardsOverviewData standards are normative constraints that ensure the consistency and accuracy of data for internal and external use and exchange. In the digitalization process, data is a true reflection of business activities within information systems. Since business objects exist in the form of data within information systems, all management activities related to data standards must be business-based and standardize the unified definition and application of business objects across various information systems, thereby enhancing the enterprise's capabilities in business collaboration, regulatory compliance, data sharing and openness, and data analysis applications.In the data standards module, users can upload standard documents and develop a data standards system based on their own practices. By establishing code tables, rule templates, and other means, unified standards, normalization, and reusable construction of quality attribute constraints and technical attribute constraints can be achieved, thereby realizing the goal of building a systematic data standards framework and effectively improving the efficiency of data standards construction.Users achieve version control of data standards through the management of data standard releases, thereby providing a stable and executable data standard system within the organization. Additionally, through the evaluation of standards and metadata mapping, the compliance of multi-source metadata can be verified and governed, laying a solid foundation for the standardization and normalization of enterprise data.Overall ValueUnify data business standards and eliminate bottlenecks in internal and external asset exchanges.By defining unified data business attributes, enable consistent business standards for enterprise data, enhancing data authority, consistency, and comprehensibility.Standardize data technical specifications to reduce the technical difficulty of data asset appreciation and exchange.By defining standardized data technical attributes, it can help enterprises and organizations effectively reduce the technical difficulty of data processing and data exchange.Define data quality standards to enhance the quality and value of data assets.By defining standardized data quality attributes, enterprises can continuously monitor and enhance the quality and value of their data assets, ensuring that data assets evolve into a new factor of production.Related ContentOverview of Data StandardsStandard DocumentCode TableRule TemplateLatest StandardsFinalized StandardsData Standards OverviewThe Data Standards Overview provides the ability to view statistical data on the construction of data standards from a macro perspective, helping enterprises quickly grasp the status and progress of data standards development.Statistics of Data Standard Accumulation;Statistics of the number of standard data sets;Statistics on the relationship between data standard sets and metadata mapping.Click on Data Standards > Data Standards Overview to enter the Data Standards Overview page.image_5.pngStatistics of Cumulative Data StandardsThe system displays the cumulative statistical results of the data standards related content up to the current date in the form of a dashboard, including standard documents, code tables, rule templates, standard sets, latest standards, finalized standards, mapping metadata, and the number of standards that have passed evaluation.Statistics of Standard Quantity in Data Standard SetThe system graphically displays the top ten standard sets with the highest number of the latest standards, sorted in descending order by the number of latest standards.Statistics on Data Standard Set and Metadata Mapping RelationshipThe system graphically displays the top ten standard sets with the highest number of mapped version metadata, sorted in descending order by the number of mapped version metadata.Standard DocumentThe standard document service has implemented the capability for archival management of data standards published by national, industry, association, regulatory, and internal organizational bodies, supporting users in establishing archives and maintaining archive attachments. At the same time, the standards can also serve as reference for data standards, code tables, and rule templates.Standard documents do not allow duplicate codes or names.If the referenced standard document is taken down, the citation will display "Referenced object does not exist," and it is necessary to reselect a published document for saving.Column NameDescriptionStandard SourceRequired, defines the level and source of the standard document. Enumerated values include international standards, national laws and regulations, national standards, external regulatory requirements, industry standards, industry practices, system specifications, advanced experiences at home and abroad, organizational systems or standards.Standard DescriptionOptional, a textual description of the standard document, which can describe the source chapter of the standard document, specific content of the standard details, effective time, responsible person, etc.Standard CodeRequired, can reference national and international standard document numbers and internal organizational document numbers, facilitating retrieval by all users.Create Topic CategoriesBased on the business classification of standard documents, establish a categorized and hierarchical directory. Users can store, browse, and maintain standard documents in the corresponding directory.Open Data Standards > Standard Documents, the left side is the subject classification area. Click on "All" and then click "Add" on the right to add a first-level subject. After filling in the subject name, press Enter to save the subject.Select the created topic category, and the list area on the right will display the standard documents under that category. In the action menu on the right side of the topic category, you can choose to add a sibling directory, add a subdirectory, edit, or delete. To facilitate user search and management, the topic category directory supports a maximum of two levels.Users can click on "All" to view all standard documents for all topics.image_6.pngMaintain standard documentsAfter selecting the theme directory, click the "Add" button in the upper right corner of the list area to add a set of standard documents and enter the information maintenance interface. Users can maintain the standard document name (must be unique), standard document code (must be unique), document source type, and description information. Additionally, users can upl...
