bi-validation

BI dashboard validation automates the inspection of chart configurations, metric expressions, axis mappings, and dataset wiring to ensure data accuracy and block the rollout of non-compliant assets. It checks runtime query results for errors and enforces publish success criteria.

BI validation works with both Superset and Grafana dashboards, adapting its checks for each platform. It enforces full configuration and data validation on Superset, while skipping unsupported data retrieval checks on Grafana and providing actionable remediation steps for failures.

Automated BI chart validation inspects chart type, metric expressions, axis mappings, dimension groupings, and dataset wiring. It also calls supported data retrieval tools to confirm charts return valid data without backend errors and compares numeric values against expected tolerances when available.

To block non-compliant BI assets from rolling out, you enforce publish success criteria by requiring all configuration checks to pass and supported data validation calls to return error-free results. The validation provides exact remediation steps for any failed checks.

When a dashboard data validation check fails, the process blocks the rollout of the non-compliant BI asset and provides clear, actionable remediation steps. This prevents publishing incorrect or broken business intelligence dashboards that mislead stakeholders.

You need to verify BI datasets and charts after automated generation because manual verification is time-consuming and error-prone. Automated validation prevents publishing incorrect or broken assets that mislead stakeholders and require costly rework.