In Data Foundations, the “Insight” topic is about making CMDB and service data easy to discover, understand, and use for operational decisions. Natural Language Queries (NLQ) support this by enabling admins and practitioners to ask questions in plain language (for example, finding specific CIs, services, or relationships) and quickly retrieve relevant results without navigating multiple tables and filters.

NLQ is performed in CMDB Workspace because CMDB Workspace is the primary user experience for exploring configuration data, visualizing relationships, and consuming insights from the CMDB in a guided way. It is designed as the central hub where CMDB users validate CI information, examine dependencies, and use workspace capabilities to troubleshoot and analyze. NLQ fits naturally here: it accelerates discovery and analysis by reducing the need for advanced query building and manual report construction.

The other options are not the correct home for NLQ in the Data Foundations context. The CMDB Health Dashboard is focused on KPIs, completeness, correctness, and compliance scoring—showing what is wrong, not serving as the main interface for free-form natural language exploration. CI Class Manager is used for class modeling and class configuration tasks. CMDB Data Manager is used for governance automation such as lifecycle policies (attestation, archival, deletion) and controlled data operations. Therefore, the correct place for administrators to perform NLQ for CMDB exploration and analysis is CMDB Workspace.