Map Column-Level Lineage and Flag Breakage Before Deployment

The problem

In a large analytics tenant with hundreds of datasets and thousands of cards, no one knows what breaks downstream when a field is renamed, a dataset is deprecated, or a calculation changes. Analytics engineers find out from a Slack message after something stops working. The same question—who uses this column?—takes hours of manual dependency tracing that may still miss indirect relationships.

What this app does

A column-level lineage and impact analysis agent that maps how any data element flows through the tenant. Type a column name, dataset, or card title into the chat interface and the agent traces the full dependency tree—upstream sources, downstream transformations, views, and cards that reference the element—and returns a visual impact map with a written summary. Before any deployment, teams run an impact query to see exactly what would break if the change were applied.

Key takeaways

• Column-level lineage traced in seconds without manual dependency mapping
• Impact analysis available before any deployment—not after the break
• Chat interface accessible to analysts without platform admin access
• Every AI response is citation-stripped to show which nodes were traversed

Who it's for

Analytics engineers, data platform teams, and BI governance leads managing large analytics tenants with active development pipelines and multiple teams sharing the same underlying datasets.

Know what breaks before you deploy, not after

See how Domo can map column-level lineage and flag downstream breakage before any CI/CD deployment. Request a tailored lineage agent for your analytics team.

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