Architecture note 01
Data Platforms
Consolidating ERP, commerce and accounting into a tested warehouse.
- Pattern
- Ingest, stage, model, test
- Controls
- Tests on every model, a metric dictionary
- You keep
- The repo, runbooks and your cloud account
One dependable foundation for your operational data.
We bring your CRM, accounting, commerce and operational systems into one tested, documented data platform, in a cloud account you own.
- Typical starting point
- 5 to 20 business systems, reporting assembled by hand, no data engineer yet.
- You receive
- A warehouse, a tested transformation repository, a metric dictionary and runbooks.
- First step
- A fixed-scope assessment of your systems and data flows.
Sound familiar?
- “Every system gives us a different number.”
- “Month-end takes a week of exports and spreadsheets.”
- “We bought a BI tool, but nobody trusts what it shows.”
What we build
From scattered exports to a platform your team can rely on.
The CRM, accounting, webshop and ERP each describe the same business differently. We connect them, agree what the important terms mean, and test the logic, so every report starts from the same base.
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01
Ingestion
Scheduled pipelines from your CRM, ERP, webshop, accounting and databases, replacing manual exports.
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02
Warehouse or lakehouse
Snowflake, BigQuery, Postgres or Azure, chosen for your scale and existing cloud, and set up in your own account.
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03
Data models
Version-controlled SQL, using dbt where it fits, that turns raw tables into business concepts such as customers, orders and margin.
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04
Definitions, quality and access
Agreed metric definitions, automated tests on every model, freshness checks and role-based access.
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05
Migrations
Moving reports and logic off spreadsheets or a legacy reporting stack without losing history.
Reference architecture
The pattern we use most often: every source lands in one warehouse, is modelled and tested every night, and only then feeds reporting.
What you keep
Everything runs in accounts you own.
01
A warehouse in your cloud.
Configured for the agreed architecture, with access control and backups. Your credentials, your bill.
02
A tested repository.
Every transformation in version control, with data-quality checks that run on each change and each night.
03
A metric dictionary.
One documented definition per metric: formula, inclusions, timing and owner.
04
Runbooks.
How to run, change and extend the platform, written for the people who will maintain it.
What we will not promise
- A “single source of truth” by a date.
It is the aim, reached through agreed definitions and tests, not a switch we flip.
- Real-time everything.
Most decisions need daily or hourly data. Streaming is used where it pays for itself.
- A timeline before we have seen your systems.
We scope after the assessment, when the effort is known.
Where useful
Next step
Start with an assessment.
We map your systems, data flows and the decisions they support, then set out what to build first and what it would take.
Start with an assessment →