Pharma commercial analytics — one trusted view of the business
Data analytics for pharmaceutical companies that consolidates IQVIA, sales, CRM and NHS data into one governed platform — with dashboards that refresh themselves and an AI layer any user can question in plain English.
Most pharmaceutical commercial teams don't have a data shortage — they have a data scatter. IQVIA extracts in one place, CRM activity in another, sales and finance in a third, tender positions in someone's spreadsheet. Every month, skilled people spend days stitching it together into a deck that is out of date the moment it lands.
Pharma commercial analytics replaces that ritual with a platform: the sources consolidated once, properly, into a governed model; territory, brand and market views that refresh themselves; and an AI layer on top so answers stop queueing behind whoever knows the spreadsheet.
It is the data foundation that makes every other application of AI in the pharmaceutical industry — from pharmaceutical forecasting to pharma automation — reliable instead of fragile.
One platform, the whole commercial picture
Pharmaceutical data analytics is only useful when every view draws from the same governed data. That's the build.
Multi-source consolidation
IQVIA, internal sales, CRM, finance and NHS prescribing data harmonised into one governed model — consistent products, geographies and periods across every view.
Territory & field performance
Territory, account and rep-level views that show where activity is landing and where the volume actually is — updated automatically, not once a month.
Brand & market share
Molecule and brand share tracked against the market, with growth split into market movement versus share change so the story behind the number is visible.
Launch & uptake tracking
New product and biosimilar uptake monitored weekly against plan and against comparable launches — so course corrections happen in-quarter, not at year end.
Market access analytics
Formulary positions, tender status and payer mix alongside the sales data they drive — access, pricing and commercial decisions made from one place.
AI insight layer
An AI layer over the warehouse and dashboards: any user asks a plain-English question and gets an answer grounded in the same governed data.
What commercial analytics is worth
Sales, marketing, access and finance looking at the same numbers — the arguments move from 'whose figure is right' to 'what do we do about it'.
The deck-building and data-stitching ritual disappears. Dashboards refresh themselves; the team spends the month on decisions.
Questions that used to queue behind an analyst — 'how is the launch tracking in the North East?' — get answered on demand by the AI layer.
Analytics built for pharma, owned by you
Built for pharma data
Territories, brands, molecule mappings, parallel trade quirks and market data feeds — the model reflects how UK pharma data actually behaves.
Data foundation first
We build the governed warehouse before the visuals, so every dashboard, report and AI answer draws from one consistent source of truth.
Governed by design
Access controls, validation and audit trails from day one — analytics your compliance and IT teams can stand behind.
Owned by you
The warehouse, pipelines, dashboards and AI layer are yours — code, data and infrastructure. No per-seat licence creep, no lock-in.
Start with the sources you fight with most
Tell us which numbers your team rebuilds by hand every month. We'll consolidate those sources first, put live dashboards on top and prove the value in weeks — see it in our AI-powered BI dashboards case study, or explore our full AI & data consulting services.
Common questions
Pharma commercial analytics is the practice of turning a pharmaceutical company's commercial data — sales, market data, CRM activity, tenders and finance — into a single, current view of how the business is performing: by brand, territory, account and market. Done well, it replaces the monthly deck-building ritual with dashboards and analysis that update themselves and answer questions on demand.
Part of our guide to AI in the pharmaceutical industry. See also pharmaceutical forecasting.