Marketing says $2M. Finance says $1.8M.
Who's right?
Marketing, finance, and ops all have different numbers. Every meeting starts with 'which report is right?'
Sound familiar?
How many of these are you?
What's really happening
The real problem.
Pipeline health · diagnosis
critical42.3%
trust in dashboards
12
failed syncs
7
conflicting metrics
38
stale models
You don't have a shared metric layer. Every tool computes its own version of the truth. Every team defends its own number.
What needs to happen
The pieces you actually need.
01
One source of truth
Every metric lives in one place, defined once.
02
Semantic layer
dbt metrics, Cube, or LookML — the business logic is code.
03
Downstream alignment
BI tools pull from the same definitions, not their own.
How we solve this
A path. Not a rewrite.
- 01
Inventory
Align on the 'correct' definition with stakeholders.
- 02
Reconciliation
Document data sources, definitions, and ownership.
- 03
Governance
Encode those definitions in dbt (or a semantic layer).
- 04
Rollout
Ensure all downstream tools pull from the same source.
Tools we use
The opinionated toolbox.
SigmaPower BISnowflakeBigQueryDatabricks