Revenue data is only valuable when it is trusted, timely, and explainable. The most reliable platforms I have built share the same foundation: clear ownership, clean source contracts, and a data model that is designed for change.
Start with contracts, not dashboards
Before a single dashboard ships, align on a small set of source contracts and definitions. A few high-confidence tables are more powerful than a dozen partial sources.
Make the model work for the business
A scalable model is not just dimensional. It is centered on the decisions your sales, marketing, and finance teams are making every week. If a model does not map to a decision, it will not last.
Make trust measurable
Add tests to your critical models, track lineage, and keep metadata current. The most efficient teams make data quality visible, not implied.
What I focus on today
I still build the same core pieces: dbt models that are easy to evolve, orchestration that is observable, and a platform that treats revenue data as a product.