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Data Assets

The Data Assets module is a core foundational module of SERVICEME NEXT, used for unified management of enterprise external data integration, internal data catalog, and business domain modeling. It serves as the underlying support for all Agent and BI analysis functions built on data.
Before utilizing data capabilities, three key configurations must be completed in sequence: Data Source Integration & Synchronization, Data Catalog Management, and Business Domain Modeling & Association. Only after these configurations are completed can data be efficiently and securely accessed in the platform's Agent or BI modules.

External Data Integration & Synchronization​

  • Data sources are used to connect to the enterprise's existing databases or external data services (such as MySQL, SQL Server, PostgreSQL, etc.), and synchronize data into the platform.
  • During configuration, connection information needs to be provided. The platform will automatically import external table structures into the data catalog and supports on-demand synchronization to ensure data timeliness and consistency.
  • After synchronization, users can view connection status and synchronization logs in the interface, enabling controllable and traceable data integration.

Data Catalog Management​

  • The data catalog centrally displays all synchronized tables and field information, making it easier for business personnel and developers to understand and use the data.
  • Users can supplement field descriptions and adjust display names in the data catalog to facilitate better classification and retrieval.
  • It is important to note that these modifications only affect the platform's internal display and do not impact the actual structure of the external database.

Business Domain Definition​

  • In the business domain, users can select multiple tables or views and set logical relationships between them (such as one-to-one, one-to-many), establishing data models that correspond to actual business scenarios.
  • After saving, the business domain can serve as a standard data source for Agent or BI use, facilitating intelligent Q&A, automated analysis, or chart display.
  • This business domain-based management approach makes data organization clearer and enables business personnel to directly access data without relying on technical staff.

From Data Assets to Business Applications​

  • Once data sources, data catalog, and business domain configurations are completed, data-driven intelligent applications can be built on the platform.
  • Agents can directly read data through business domains and, combined with Skills or MCP, enable intelligent Q&A, automated report generation, and other functions; BI tools can quickly create visual reports and dashboards.
  • If the data structure is adjusted or optimized, simply modify and synchronize it in the Data Assets module, and the related Agent and BI modules will automatically update, forming a complete closed loop from "data to application".

Best Practices​

  1. Ensure data permissions and backup security before integration to avoid misoperation and leakage risks;
  2. Maintain field descriptions and tags in the data catalog to improve data readability and reusability;
  3. Organize data around business domains for unified governance and permission control;
  4. Regularly check synchronization status and data quality to ensure the reliability and accuracy of the data in use.