Data warehousing for pharmaceuticals — one source of truth
IQVIA, NHS prescribing, CRM and ERP data unified in one governed cloud warehouse — modelled for pharma, refreshed automatically and feeding every Power BI dashboard and forecast from the same tables. Not another folder of monthly extracts.
Most pharma commercial data problems are not analytics problems — they are plumbing problems. IQVIA extracts in one folder, CRM exports in another, ERP reports from finance, prescribing data downloaded from portals — and every month, analysts re-keying it all into spreadsheets whose numbers never quite agree.
Data warehousing for pharmaceuticals fixes the plumbing once. Every source lands in one governed cloud warehouse, molecule and pack mappings are maintained in a single place, volumes are converted into consistent therapy units, and pipelines refresh it all automatically — so the business argues about what the numbers mean, not which ones are right.
It is also the foundation for everything we cover in our guide to AI in the pharmaceutical industry: reliable pharma commercial analytics, credible pharmaceutical forecasting and fast, trusted Power BI dashboards all start from the same thing — clean, modelled data everyone trusts.
Every dataset your commercial team argues about
A pharma warehouse earns its keep by harmonising the sources that never quite reconcile in spreadsheets — and keeping them harmonised automatically.
IQVIA & market data
Sell-in and sell-out feeds landed on a schedule, with molecule and pack mappings maintained in one place — not re-derived in every workbook that touches the extract.
NHS prescribing data
Hospital and primary care dispensing sources joined to your own view of the market, so national demand and your sales tell one story rather than two.
CRM & field activity
Calls, accounts and engagement data aligned to the same account hierarchy as sales — the join every field-effectiveness question depends on and most teams never get.
ERP, orders & finance
Orders, invoices, rebates and finance actuals reconciled against market data, so gross-to-net questions are answered from tables, not from a quarter-end scramble.
One modelled layer
Molecule, pack, account and NHS geography defined once, volumes converted into consistent therapy units — the definitions every downstream report inherits automatically.
Automated, tested refresh
Pipelines run on a schedule with validation checks at every stage, so a broken feed is caught and flagged before it ever reaches a dashboard or a forecast.
What a pharma data warehouse is worth
Commercial, finance and supply read from the same governed tables — when two reports disagree, there is a defined source of truth to settle it.
New data lands, pipelines run, checks pass, dashboards update. Nobody spends the first week of the month downloading portals into spreadsheets.
Every copy-paste between an extract and a report is a place errors creep in. The warehouse removes the handoffs instead of policing them.
Infrastructure built for pharma, owned by you
Start from the questions
We design the model around the dashboards, forecasts and monthly questions it has to serve — not around a reference architecture. If a table doesn't answer a real question, it doesn't get built.
Modelled for pharma
Molecule, pack, account and NHS geography dimensions, therapy-unit conversions and market definitions are first-class parts of the model — not conventions buried in someone's SQL.
Right-sized cloud build
Azure, AWS or GCP — whichever fits your estate. UK commercial datasets rarely justify a heavyweight platform programme, so we build lean, automated and well-documented instead.
Owned by you
Built in your cloud tenancy, with the code, the data model and the documentation handed over. Your team can open it, understand it and extend it — no black-box licence.
Start with the sources that hurt most
Bring us the two or three datasets your team spends the most time reconciling. We'll model them, automate the refresh and hand over a warehouse your analysts can extend — see how we did it in our health data warehouse case study, or explore our wider AI & data consulting services.
Common questions
A pharmaceutical data warehouse is a central, governed store that brings a company's commercial data — IQVIA sell-in and sell-out feeds, NHS prescribing data, CRM activity, ERP orders and finance actuals — into one consistently modelled place. Instead of every team re-keying figures from portals and extracts, the warehouse holds a single agreed version of each number, with molecule, pack, account and geography defined once and used everywhere downstream.
Part of our guide to AI in the pharmaceutical industry. See also pharma commercial analytics and pharmaceutical forecasting.