An independent reading of your analytics platform — the warehouse, the transformation layer, the governance around it — in writing, by someone with no data platform to sell you.
You’ve invested in Snowflake, BigQuery, or Databricks, built out dbt models, and reports come out the other end. What you don’t have is independent confirmation that the semantic layer is genuinely consistent, that the governance around who can define a metric and how is actually followed, and that different teams pulling the “same” number from the platform would get the same answer.
That is what this engagement is.
€15,000. Three to four weeks. Delivered in writing, with a presentation to whoever needs to hear it.
Fixed fee. No implementation work. No commissions. No product recommendations influenced by suppliers.
Why clients commission this review
- Two teams have reported different numbers for what should be the same metric, and leadership has lost confidence in the platform as a genuine single source of truth.
- The dbt model layer has grown organically for years and no one is confident it’s still coherent end to end.
- Platform costs have grown significantly and the board wants an independent read on whether the spend matches the value being delivered.
- A platform migration or consolidation is being considered and the board wants a strategy grounded in the current state, not a vendor’s greenfield pitch.
Who this is for
Boards and data leaders who want independent confirmation their analytics platform genuinely functions as a trustworthy single source of truth.
Organisations planning a platform migration or consolidation who want a strategy built from evidence, not vendor positioning.
Who this is not for
Organisations wanting the platform built, migrated, or the models rewritten. We identify and recommend; we do not implement.
What you receive
The Review tells you three things in writing: where the platform genuinely stands, where trust in the numbers is breaking down, and what to fix first. Five artefacts, delivered together, in plain language.
A scored platform reading. Warehouse architecture, transformation model coherence, and semantic layer consistency assessed with evidence.
A metric consistency audit. Where key business metrics are defined more than once, inconsistently, across the model layer — the specific source of “two teams, two numbers” disputes.
A governance assessment. Whether there’s a genuine, followed process for who can define or change a metric, or whether it happens informally.
A prioritised roadmap. What to fix first, second, third, sequenced across the next year.
A board presentation. A one-hour session with your board or data leadership, findings presented, challenged, and discussed in the room.
How the Review runs
Three to four weeks, in four phases: scoping and inventory, interviews and evidence gathering across data, analytics, and business stakeholders, synthesis and writing, then presentation and revisions around your board cycle.
Everything is written before it is said. Nothing is presented to your board that you have not read first.
What this is not
An implementation engagement. We identify and recommend; we do not rewrite models or migrate the platform.
A broader data governance review covering ownership and trust across the whole business, not just the analytics layer — for that, see the Data Governance Review.
Proof
References available on request.
What happens next
Start a ConversationThirty minutes. We confirm fit, scope, and timing. No proposal is sent unless you ask for one.