Data Warehouse Foundation
Most reporting disputes are definition disputes. A warehouse is worth building when it settles what a metric means and makes that definition the only one in use.
What this covers
Ingestion
Source systems loaded reliably, with failures visible.
Modelling
Facts and dimensions shaped for the questions actually asked.
Definitions
Metrics documented where the people using them will find them.
Testing
Data quality checks that fail loudly rather than quietly.
Access
Governed access by role, including to sensitive fields.
Reporting layer
Dashboards built on the model rather than beside it.
Who this is for
Finance
Numbers that must reconcile to the ledger.
Operations
Daily measures teams act on.
Commercial teams
Customer and product performance.
Executives
A small set of numbers everyone agrees on.
How we work
People who have done it before
Teams that have worked in this setting, not a generic squad reading the brief for the first time.
One team, start to finish
The people who design it are the people who build it and the people who answer for it afterwards.
Working software early
Something running in weeks, so the direction is judged against a real thing rather than a document.
Bought once, owned by you
What you keep at the end
The code, the documentation and the accounts are yours throughout. Nothing here depends on us staying, and any arrangement that continues does so because it is worth continuing.
Talk to us
What we promise
- A named team you can reach, not an account manager relaying questions
- A working version early, and every fortnight after that
- Written estimates with the assumptions and the risks stated
- Your code, your data and your accounts, yours throughout
- A direct answer when something is late or will not work
How it runs
Scope
What the solution has to do, what it must integrate with, and what is deliberately out.
Pilot
A working configuration with one team or one process, measured against how it works today.
Roll out
Extended in stages, each with a way back if it does not hold.
Improve
Measured after launch and changed on evidence, which is when most of the value arrives.
Common questions
Whichever suits your data volume, skills and budget. The modelling and definitions carry more value than the engine.
One well-chosen subject area in weeks. Everything at once is how these become two-year programmes.
Gradually, and only once the new number is trusted.
Your team, with us alongside. That is the point of documenting the definitions.
Would this work here?
A short conversation is usually enough to tell whether this fits your situation. If it does not, we will say so.
Get in touch