A single source of truth
One agreed number for volume, revenue or activity — instead of three systems producing three answers and a meeting to decide which is right.
One place for all of your data
Pull from every application you run — clinical, operational and financial — and land it in a warehouse that keeps history, reconciles identities and answers questions no single system can.
Architecture
Layered, so nothing is lost on the way in
We do not transform data on arrival and hope it was right. Every record lands raw first, and each later layer is rebuildable from the one before it.
- Landing / raw. Every message, document and file stored exactly as received and time-stamped — your audit trail and your safety net.
- Staging. Parsed, validated, de-duplicated and matched, with rejects quarantined and visible instead of silently dropped.
- Conformed core. One patient, one encounter, one claim — modelled the same way regardless of which system it came from.
- Marts. Purpose-built tables and views your dashboards, extracts and analysts read from directly.
What it gives you
Questions you cannot answer today
Once everything is in one governed place, the reports that were impossible become routine.
History that survives
Change is tracked over time, so you can see what a record looked like last quarter — even if the source system overwrote it.
One patient, one identity
Record matching across systems that never shared an identifier, so the same person is not counted three times in three places.
Governance and access control
Row- and column-level permissions, audit logging and encryption — so opening up reporting does not mean opening up PHI.
Data quality you can see
Rules, thresholds and exception reports that surface bad data as a number on a dashboard, not a surprise in a board pack.
Freedom to change vendors
When your data lives in your warehouse, replacing a source system stops being a decade of history held hostage.
Pipelines
Loaded on a schedule you choose
Some data needs to be minutes old. Most does not. We size the pipeline to the decision it supports rather than to what sounds impressive.
- ETL or ELT. Whichever suits your platform, volume and licensing — we are not attached to one pattern.
- Incremental loads. Only what changed, so nightly windows stay short as volume grows.
- Near-real-time where it matters. Message-driven loads for the feeds where a day-old answer is useless.
- Historical backfill. Years of legacy data loaded and reconciled against the source before anyone reports on it.
- Monitored end to end. Run status, row counts and failure alerts — so a silent pipeline is not mistaken for a quiet week.
Platforms
Built where it makes sense for you
On-premise, in your cloud tenancy, or hosted by us. If you already have a warehouse platform and a licence you are paying for, we will build inside it rather than sell you another one.
Questions
Warehousing questions, answered
We deliberately start with one source system and one question worth answering, which typically produces something real within the first phase rather than at the end of the programme. The full picture grows source by source from there.
Often, yes — and usually the problem is not the platform. Trust is lost to unmatched records, silent load failures and undefined metrics. We audit what is there, find where the numbers diverge from source, and rebuild the layers that need it instead of starting over by reflex.
Wherever you need it to. Your own servers, your own cloud subscription, or infrastructure we manage for you. The choice is usually driven by your compliance posture and existing licensing, and we will lay out the trade-offs before you decide.
Encryption in transit and at rest, least-privilege access, audit logging, and de-identified or masked data in non-production environments. Access to PHI is limited to the people whose role requires it, and every transfer and query path is documented.
You keep everything — the warehouse, the pipelines, the models and the documentation, on infrastructure you control. We hand over runbooks and walk your team or your next partner through it.
Next step
What would you ask, if the data were all in one place?
Bring us the question your current systems cannot answer. We will show you which sources it needs and what the warehouse to support it looks like.