We build data platforms that end the argument about whose number is right. That means a warehouse designed for the questions you actually ask, a semantic layer where each metric is defined exactly once, and lineage that lets anyone trace a figure back to its source.
Model for the questions, not the source systems
Copying your operational schema into a warehouse produces a warehouse nobody can query. We model dimensionally around the decisions the business makes, so a question that should be simple is simple.
Define each metric once
A semantic layer holds the canonical definition of every metric. Dashboards, notebooks and embedded reporting all read from it, so the number cannot drift depending on who built the chart.
Cost that stays proportionate
Warehouse spend has a habit of growing faster than the value it delivers. We use incremental models, tiered storage and workload isolation, and attribute cost per team so it can be managed rather than absorbed.