Reference Tables enhance the ability of engineering, operations, and security teams to interpret telemetry data by integrating external metadata from SaaS providers like Snowflake, Salesforce, ServiceNow, and Databricks into a unified observability and security platform. This integration mitigates the visibility gaps that hinder incident response, cost control, and analytics by allowing direct enrichment of logs, metrics, and events with contextual information such as ownership, location, and priority. By automating the import of metadata, Reference Tables enable more efficient cost management, faster incident triage, enriched network traffic logs, and improved product usage analysis across customer segments. They also facilitate the detection of permissions misconfigurations in Databricks deployments, providing a comprehensive solution to combine business, ownership, and security context without manual data handling. These capabilities empower teams to make informed decisions and respond swiftly to issues, ultimately enhancing operational efficiency and reducing potential risks.