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Team

For analytics

Trust the marts behind your dashboards — and catch the explore that burns the budget.

The problem

Analysts get blamed when numbers look wrong. Often the mart was stale or a dbt model skipped — or someone ran a full-scan explore from BI.

The outcome

VectorData tells you when KPI sources go quiet, when dbt failed under your dashboards, and when job stats show a cost spike worth chasing.

KPI sources

Freshness on the tables you publish

dbt signal

Know when upstream models fail

Explore cost

Catch rogue scans early

Capabilities

Dashboard confidence

Watch the marts your Looker/Metabase/Sheets stack reads.

Upstream clarity

See dbt failures that explain why a metric froze — without owning the whole warehouse.

Self-serve cost awareness

Top expensive jobs help analytics own scan hygiene.

Shared language with DE

Same Watchdog queue — fewer “is it the dashboard or the data?” threads.

Related

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