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Data Assets

The Data Assets module is a core foundational module of SERVICEME NEXT, used to centrally manage enterprise external data access, internal data catalogs, and business domain modeling. It serves as the underlying support for all data-driven Agent and BI analytics capabilities.
Before using data capabilities, three key configurations must be completed in sequence: data source access and synchronization, data catalog management, and business domain modeling and association. Only after these configurations are completed can data be efficiently and securely used in the platform’s Agent or BI modules.

External Data Access and Synchronization​

  • Data sources are used to connect to existing enterprise databases or external data services (such as MySQL, SQL Server, PostgreSQL, etc.) and synchronize data to the platform internally.
  • During configuration, connection information must be provided. The platform will automatically import external table structures into the data catalog and support 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 access.

Data Catalog Management​

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

Business Domain Definition​

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

From Data Assets to Business Applications​

  • Once data sources, data catalogs, and business domains are configured, data-driven intelligent applications can be built on the platform.
  • Agents can directly read data through business domains and, combined with Tools or MCP, enable intelligent Q&A, automatic report generation, and other functions; BI tools can quickly create visual reports and dashboards.
  • If the data structure is adjusted or optimized, only modifications and synchronization in the Data Assets module are needed, and the related Agent and BI modules can be updated automatically, forming a complete closed loop from “data to application.”

Best Practices​

  1. Ensure data permissions and backup security before access to avoid operational errors and leakage risks;
  2. Maintain field descriptions and labels in the data catalog to improve data readability and reusability;
  3. Organize data around business domains to facilitate unified governance and permission control;
  4. Regularly check synchronization status and data quality to ensure the data in use is reliable and accurate.