Ship data quality tests before another dashboard
Dashboards multiply trust problems. Why tests, contracts and alerting on pipelines pay off faster than another BI tile.
When numbers disagree, teams often respond by building another dashboard. That spreads the confusion. The fix is upstream: tests and contracts on the data that feeds every chart, model and operational workflow.
What to test first
Freshness — did yesterday’s data arrive? Volume — did row counts fall off a cliff? Uniqueness and null rates on the keys your business joins on. Referential checks between entities you treat as gospel in product and finance.
You do not need a perfect framework on day one. You need a small suite that fails loudly in CI or alerting when something important breaks.
Contracts beat tribal knowledge
If the only person who knows “order_id can be null on weekends because of the legacy importer” is on holiday, you do not have a platform — you have folklore. Document expected shapes at the boundaries between teams. Enforce them where data crosses the boundary.
Then the dashboards get cheaper
Once the warehouse tables are trustworthy, BI and AI stop being archaeology. Analysts spend less time reconciling. Engineers spend less time in incident channels. That is usually a better return than shipping three more charts on sand.