Capability

Data & Analytics

Warehouses, dimensional models and natural-language querying.

Discipline: 03
Typical duration: 6 to 12 weeks
Model: Fixed scope
Ownership: Yours

What it changes

Every business already has the data to answer its own questions, and a queue of people waiting on the one person who can query it. We model the warehouse around the questions rather than the source tables, then put a plain-English layer over it that shows its working. The answer arrives in the meeting instead of a week after it.

In practice

Every answer arrives with the query that produced it.

A warehouse only answers questions for the people who can write SQL against it. Everyone else joins a queue for a report, and by the time it arrives the question has moved on. We model the data properly first, then put a layer over it that answers in plain English and shows the query it ran, so a number can always be checked before it is trusted.

One plain-English question, and the query it actually ran

What that includes

Everything in the box, itemised.

Interface design, deployment and handover are in every engagement, so they are never quoted as extras.

Data warehouses and dimensional models
Plain-English querying with the SQL shown in full
Reporting, dashboards and automated charting
Pipelines, migration and reconciliation
Read-only access by construction

How it runs

A typical engagement.

We start from the questions the business currently cannot answer, model the warehouse against those rather than against the source schema, then put the query layer on top. You get the model and the semantic layer as documented artefacts, not just a dashboard.

The operating rhythm behind it