Building data your leadership actually trusts
When two reports disagree, decisions stall. Here's how to build a single source of truth your whole company believes.
The most common data problem is not a lack of data — it is a lack of trust in it. When the sales dashboard and the finance report show different revenue, people stop trusting both and fall back on gut feel. Rebuilding that trust is mostly an engineering and governance problem, not a tooling one.
One definition per metric
Most disagreements come from metrics defined differently in different places. A single, documented definition for each key metric — modeled once in the warehouse and reused everywhere — eliminates the majority of conflicts before they start.
Test your data like code
Data pipelines deserve the same rigor as application code. Automated tests that check for nulls, duplicates, and broken relationships catch problems before they reach a dashboard. When data quality is enforced automatically, trust follows.
Design dashboards around decisions
A dashboard should answer the specific questions a team makes decisions on, not display every number available. Start from the decision, work backward to the metrics, and ruthlessly cut the rest. The best dashboards are the ones people actually open every morning.