Health Data Warehouse
A single source of truth for a large commercial team — 80 data sources flowing automatically into Databricks on AWS, many refreshed daily, and structured so AI can sit directly on top.
We built a health data warehouse unifying 80 data sources into a single source of truth — used every day by a large commercial team.
From 80 scattered sources to one governed warehouse
Simplified schema of a real client build. Source and table names are masked for confidentiality.
Warehouse architecture — at a glance
80 sources → Databricks on AWS → every downstream tool
Landing zone — source-aligned tables
Validated, conformed schemas
Business-ready models
Clean schemas · clear conventions · documented SOPs
Live reporting on trusted numbers
Reads the schema — bespoke analysis on demand
Self-serve, one version of the truth
ChallengeCritical health data was scattered across dozens of spreadsheets and disconnected extracts. It was hard to read, hard to analyse and near-impossible to cross-examine — and none of it could be fed cleanly into visualisation or AI tools.
SolutionWe built a structured data warehouse on Databricks, hosted in AWS — 80 sources loading automatically, clean schemas, clear naming conventions and documented SOPs. It was designed from day one so AI can read the data, understand the schema and run bespoke analysis whenever it's needed.
OutcomeOne reliable foundation that every downstream tool can trust — used daily by a large commercial team, with an AI layer on top producing bespoke analysis, reports and analytical tools on demand.
The foundations that make AI on top possible
A warehouse is only as useful as the tools it can power. Every design decision was made so dashboards, forecasting and AI could plug straight in.
Clean schemas
Every table modelled deliberately, with consistent structure across all 80 sources — so nothing needs deciphering before it can be used.
Automated loading
Data flows land in the warehouse on schedule — many refreshed daily — with no manual exports, copy-paste or spreadsheet stitching.
Conventions & SOPs
Clear naming conventions and documented SOPs mean the warehouse stays governed and maintainable as it grows — not just on day one.
AI-readable by design
The schema is structured so AI can navigate it directly — answering bespoke questions and building analysis without an analyst translating first.
Want this built for your team?
Book a 30-minute discovery call. We'll look at where your data lives today and show you what a governed, AI-ready warehouse could do for your team — at no cost and no commitment.
Book a Discovery CallNo commitment. 30 minutes.