Sound Familiar?
Different revenue numbers in every meeting
CAC, LTV, and MRR calculated differently across tools
No single definition of "active user" or "customer"
People arguing about the number, not the insight
Every team has their own spreadsheet with "the real data"
Decisions delayed because no one trusts the dashboards
What's Really Happening
You don't have a shared metric layer.
Each team defined metrics in their own tool, using their own logic, at different points in time. Now those definitions have drifted — and reconciling them manually has become a full-time job.
What Needs to Happen
Inventory
Align on the "correct" definition with stakeholders
Reconciliation
Document data sources, definitions, and ownership
Governance
Encode those definitions in dbt (or a semantic layer)
Team Design
Ensure all downstream tools pull from the same source
How do we solve these problems
We build semantic layers and KPI frameworks that make metrics consistent across every tool and team.
We rebuild your dashboards on top of the unified metric layer so everyone sees the same numbers.
Tools We Use
Semantic Layer:
dbt
Cube
LookML
Business Intelligence:
Sigma
PowerBI
Looker
Warehouse:
Snowflake
BigQuery
Databricks
Transformation:
dbt
Python
