[Image: image_1.jpeg]Copyright©2025 Yonyou Group All rights reserved.Without the written permission of Yonyou Group, no part or whole of the content of this release note may be copied, reproduced, translated, or reduced for any purpose. The content of this release note may change without notice, please be aware.Please note: The content of this release note does not represent a commitment made by Yonyou Network.Special StatementDear readers, please note that the release notes for this version have been optimized, and there is no longer a distinction between the full version and the incremental version. For easier reading, we have highlighted the new features in bold blue font in the full version. We kindly ask readers to pay special attention to this change while reviewing.Table of ContentsChapter 1 Product Overview 61.1 Product Overview 61.2 Product Architecture 71.3 Product Objectives 7Chapter 2 Product Scope 8Chapter 3 Product Features 83.1 Data Platform Public 93.1.1 Overview 93.1.2 Configuration Center 103.1.3 Approval Center 133.1.4 Business Planning 133.1.5 Operation and Maintenance Center 153.1.6 App Center 163.2 Data Development 183.2.1 Data Synchronization 193.2.2 Relationship Modeling 223.2.3 Offline Development 223.2.4 Real-time Development 263.3 Indicator Platform 273.3.1 Dimensional Modeling 273.3.2 Indicator Management 293.3.3 Indicator App 313.3.4 Label Portrait 313.4 Data Governance 323.4.1 Data Standards 323.4.2 Metadata Management 343.4.3 Data Resources 353.4.4 Data Asset 383.4.5 Data Quality 383.4.6 Data Security 403.4.7 Data Life Cycle 423.5 Intelligent Analysis 433.5.1 Analysis Modeling 443.5.2 Data Analysis 483.5.3 Custom Report 643.5.4 Mobile Analysis 673.5.5 Smart Reports 713.5.6 Data Agent 743.5.7 Analysis Configuration 743.5.8 System Management 763.6 Data Service 773.6.1 Intelligent Analysis Asset Package 773.7 Master Data Management 863.8 Lean Model 863.8.1 Lean Model Workbench 86Chapter 4 Special Instructions 874.1 Globalization 874.2 Ecology 894.2.1 Self-Service ETL 89Product OverviewProduct OverviewYonyou Data Platform is centered around comprehensive data construction, technically covering every link in the data chain from data collection, data processing, data governance, to data services, data applications, and data presentation. This provides full-link, multi-channel data services for businesses, enterprises, and users both inside and outside the ecosystem. On the business side, the goal is to achieve data-driven business innovation by aggregating and governing cross-domain data, supporting data asset management and data value transformation, encapsulating data into services, and realizing business innovation.The data platform will provide the following core capabilities: planning and governance of data assets, collection, acquisition, and storage of data assets, governance, sharing, and collaboration of data assets, exploration and analysis of data business value, and construction, governance, measurement, and operation of data services. Through these capabilities, it ensures data quality, accelerates the service production process from data to value, creates a highly responsive and smarter business, thereby achieving data-driven business innovation.In the YonBIP product system, the value of the Data Platform is mainly reflected in the data application services across various domains, enabling enterprises to achieve data-driven business innovation after using YonBIP for digital transformation. Currently, dSaaS application services such as fund analysis, supplier evaluation, and sales forecasting based on the Data Platform have been developed, achieving good application results and truly empowering the data of business processes in enterprise Purchase Management, Fund Management, and Inventory Management based on the enterprise's historical data.Product ArchitectureData Platform Product Application Architecture DiagramProduct GoalsThe Data Platform is a one-stop data collection, development, governance, and application foundation that supports the digital transformation of enterprises. The goals of the YonBIP Data Platform product include the following aspects:Data Asset Preservation and Value Addition: Based on the Data Platform, the refined governance and asset management of massive heterogeneous data across industries, domains, scenarios, and enterprises, promotes precise valuation and open sharing of comprehensive and full data based on YonBIP, facilitating the collaborative enhancement and preservation of data asset value.Data-Driven Fine Management: Through the data platform, build a ubiquitous, quantifiable, and visual decision analysis system to assist enterprises in establishing decision views as needed for different levels and decision-makers, effectively addressing the shortcoming of "Eastern management being stronger in qualitative aspects."Make intelligence visible everywhere: Effectively address the challenges of data storage, management, and utilization brought about by the growth of data categories and volumes. Build a low-threshold data governance system that covers the entire life cycle and all domains of big data, achieving "data everywhere" with on-demand access to data, models built as needed, analysis anytime and anywhere, and innovation visible everywhere.Product RangeThe scope and form of product release are as follows:DomainSubdomainServiceExclusive CloudPrivate CloudOn-PremisesiuapData PlatformData Platform Public✔✔✔iuapData PlatformData Governance✔✔✔iuapData PlatformLean Model✔✔✔iuapData PlatformLean Data Development✔✔✔iuapData PlatformData Development✔✔✔iuapData PlatformIndicator Platform✔✔✔iuapData PlatformIntelligent Analysis✔✔✔iuapData PlatformData Service✔✔✔iuapData PlatformMaster Data Management✔✔✔iuapData ServiceIntelligent Analysis Asset Package✔✕✔Product FeaturesYonyou Data Platform integrates data aggregation and fusion, data processing, data governance, and data visualization into one. Through multi-source heterogeneous big data synchronization, data modeling, data standards, data assets, data services, data display, and monitoring, it achieves service visibility of data. By providing a user-friendly data service development environment and advanced data analysis capabilities, it lowers the technical threshold and reduces the cost of data processing for enterprises, facilitating a data-driven business pathway, realizing business value across departments, and ultimately achieving the monetization of data value, providing strong momentum for the digital transformation of enterprises.The data platform is dedicated to empowering enterprises to realize value from data, with the main value reflected in:Data visualization, letting data speak, supports enterprise management.Data-driven business, making decisions precise, leading the enterprise growth loop.Data element assetization, enabling value flow, empowering enterprise innovation.Data Platform forAI, ensuring data reliability, driving enterprise digital transformation.Data Platform PublicIn the current version, a portion of the common capabilities has been separated out to facilitate different roles in quickly finding the required functions during use. The public components of the Data Platform mainly include the Configuration Center, Approval Center, Operation and Maintenance Center, and App Center.OverviewData Platform HomepageThe homepage is used to display an overview of the data platform, helping users quickly understand the entire product content. It includes the data platform functional architecture diagram, product resources, learning materials, help documents, industry practices, and the latest product updates.The features of this version are as follows:Product Overview: Product Introduction, Product Navigation, Video Tutorials, Data Intelligence Solutions;Product Resources: Industry Cases, Domain Cases, Thematic Training, Latest Updates;Micro Classroom: Design Workflow for Visual Analysis, Data Asset Management, Content Overview, Data Movement;Quick Apps, Common Apps: Functional Quick Access;Product Architecture Diagram: Quick Access to Functions.Business OverviewThe business overview displays a dashboard page of various statistical indicators for the current tenant, helping senior leaders or managers quickly view the tenant's information and understand the overall product situation.System InformationThis service supports users in viewing detailed version information of intelligent analysis related microservices, making it easier for users to quickly locate and understand the current version information.The version information in the system information supports viewing all microservices of the data platform.Configuration CenterThe Configuration Center implements the management configuration of some common resources, including Business System tags, Data Source management, Extended Property management, and other functions.Business SystemThe features of this version are as follows:Support for operations such as defining business system tags.Data Source ManagementThe features of this version are as follows:The data platform supports unified data source management;Data source access database type enhancement, including TRINO, restAPI, Impala, StarRing Inceptor, Hive3;The data source supports setting matching rules to filter the scope of table objects according to the rules.Data source management adds domestic databases, non-relational databases, in-memory databases, etc.;Data source expansion supports viewing database information and modifying passwords;The data source supports the capability to view the total amount of data in the database, the number of forms, the number of rows, the table structure, and the first 1000 rows of data.The data source management function has added the configuration for collection tasks, which can automatically configure and create the collection task for the source when a new data source is added.Data source supports business metadata: YonBIP, NCCloud;Data source supports relational databases: MySQL, MySQL 8.0, ORACLE, MS SQL Server, POSTGRESQL, GREENPLUM, DB2, DAMENG, Gauss100, HUAWEI DWS, Kingbase, SyBase, ADB For PG, OpenGauss, OSCAR;Data source supports non-relational data: MongoDB, Excel, CSV;Data source supports big data data sources: Kylin, Bigfusion, Hive, ClickHouse, Spark, Hadoop;Data source supports time series database: InfluxDB;Data source supports clearing cache;Query and calculation engine optimization;Data source supports setting object permissions;Support filtering of data sources based on table fields.Support setting the visibility range of the data source table.Data source management supports access to CirroData cloud database.Data source management supports batch move and batch delete.Data source management supports tenant-level users to configure domain key and schema relationships for preset data sources.Data Source Management - New Doris Data Source for Data Development.Metadata Collection ManagementThe features of this version are as follows:Support for custom collection content and scheduling cycle;Support for setting up a content blacklist.Support for the collection switch control of row numbers, scheduling can be configured separately;Optimize the content of the collection log, emphasize key information, and change the interaction for viewing logs.Support for single collection of metadata content, updating metadata content, to assist data development scenarios;Expand more data source types.Expand Property ManagementThe features of this version are as follows:Supports adding custom property fields to the latest metadata and other objects.Support coding search using properties.Global Directory ConfigurationThe features of this version are as follows:Supports quickly applying defined direct...
