Commercial analytics for specialty pharma. Without the year-long IT project.
Launch, HCP targeting, and market access run on data your team already owns — scattered across CRM, claims, and specialty pharmacy feeds. We turn it into the decisions a brand leader has to make this week.
Trusted by commercial and data leaders at Azurity, Alkermes, Telix, UCB, and McKesson.
More data than any team can turn into a decision.
Pharma commercial teams aren't short on data. They're short on the time and the system to translate it into a confident next move — before the launch window narrows.
Is the launch actually working?
Beyond TRx on a slide — which segments, geographies, and access pathways are pulling the curve, and which are quietly stalling it.
Are we reaching the right HCPs, in the right order?
Targeting and sequencing that reflect how prescribers actually adopt — not a static call list built at launch and never revisited.
Every fragmented feed exists to answer one thing: the commercial question you can't get a clean answer to.
By decision, not by dataset.
Each engagement is scoped to the decision a commercial leader actually has to make. Here's how the most common ones map to what we build and the data underneath.
| Decision area | The question a leader asks | What we build | Data it runs on |
|---|---|---|---|
| Launch performance | Is the curve bending, and where? | Launch tracking with segment & geography decomposition | TRx/NRx, claims, CRM, field activity |
| HCP targeting & sequencing | Who do we reach, in what order? | Dynamic targeting & next-best-HCP sequencing | Prescriber data, calls, adoption signals |
| Market access | Where is coverage helping or hurting? | Access & payer performance views | Claims, formulary, PA/rejection data |
| Specialty pharmacy & channel | Where are scripts leaking? | Channel & SP fulfillment dashboards | SP feeds, hub, dispense data |
| Field effectiveness | Is the field time earning return? | Field & call-plan effectiveness reporting | Veeva CRM, activity, outcomes |
| Forecasting | What should we expect, and fund? | Commercial forecasting & scenario views | Historical performance, market data |
Bundled, these become PharmaIQ — our commercial intelligence layer for specialty pharma, tuned to your brand rather than a generic template.
One unified commercial model
Launch, omnichannel, and access data reconciled to a single version leaders can trust.
Decision-first dashboards
Designed for the choice a brand leader makes this week — not a wall of metrics.
Senior, hands-on delivery
The person who scopes the work is the person who builds it. No rotating bench.
Built inside your governance
HIPAA and 21 CFR Part 11 requirements scoped up front; row-level security by design.
Weeks to first value
A trusted view in leaders' hands early, then extended across the commercial stack.
Yours to keep
The model and its logic stay with your team when the engagement ends.
Week six of launch. Monday, 7 a.m.
The brand lead needs to know where the field should spend this week. The raw signals exist — but they're spread across a claims extract, the CRM, and a specialty pharmacy feed that don't speak to each other.
- See One reconciled view shows adoption by prescriber decile and geography, overnight.
- Decide It surfaces the fast-adopting HCPs still under-called and the payers driving rejections.
- Act The field plan and access outreach reprioritize before the Monday sync.
- Track Next week's view shows whether the reprioritization moved the curve.
Not a monthly report you read. A decision you make on time.
| Phase | Timing | What happens | What you get |
|---|---|---|---|
| See | Weeks 1–2 | Connect the sources; agree the decision that matters most | A reconciled, trusted data view |
| Decide | Weeks 3–4 | Build the decision-first dashboard around it | Working reporting in leaders' hands |
| Act | Weeks 5–6 | Put it into the commercial routine; train the team | Decisions changing in the field |
| Track | Ongoing | Extend across access, channel, and forecasting | A loop that keeps running |
Timelines vary with data readiness. The sequence doesn't: one decision proven first, then breadth.
Built on the platforms your business already trusts.
We meet your stack where it is — connecting the data you license rather than moving you into someone else's environment.
Specialty pharma leaders don't want a deck. They want the number to move.
What pharma leaders say about the work.
Rower did not just build dashboards. They designed a commercial intelligence platform that connected sales, marketing, and operations into one coherent experience — a framework our teams could execute against, not just report from. A fundamentally different kind of partner.
The gap between data science and commercial execution isn't a technology problem — it's a thinking problem. Nasheed and his team bring the clarity that helps leaders ask better questions and build systems that support how decisions actually get made.
Before Rower, our commercial, marketing, and sales teams each worked from their own version of the data. Rower connected all three into one trusted version. We stopped debating the data and started making decisions with it.
Before we start.
We don't have a data team or a data warehouse yet. Can you still help?
Yes. Most of our specialty pharma clients come to us with data scattered across CRM, claims, and specialty pharmacy feeds and no internal team to unify it. We integrate the sources, build the data product, and hand your brand and commercial leads something they can decide from — without a year-long IT project or a new hire first.
Do we need to license IQVIA or a specific data vendor to work with you?
No. We work with the data you already license — IQVIA, Symphony, claims, specialty pharmacy, Veeva CRM, or your own warehouse — and connect it rather than forcing you into one vendor's environment. If a data gap is genuinely blocking a decision, we'll tell you plainly and help you close it. We don't resell data subscriptions.
How do you handle claims and specialty pharmacy data across sources?
We build a single unified model across launch, omnichannel, and access data — so a TRx trend, a payer signal, and a field metric all reconcile to one version. That model is what turns fragmented feeds into an executive view of what's actually driving performance and where to intervene.
Is the work compliant with HIPAA and 21 CFR Part 11?
We build inside your governance, not around it. Whether an implementation is subject to HIPAA or 21 CFR Part 11 depends on its intended use, data, and configuration — we scope those requirements with your team up front and design the data product to sit within your compliance and access controls, including row-level security where it's needed.
How is a boutique like Rower different from ZS, IQVIA, or Axtria?
The large firms and platforms are built for companies with mature data organizations and enterprise delivery benches. Built for the commercial decisions your data team can't get to. You get a senior partner hands-on from integration through adoption — not a rotating bench — and a data product tuned to the decision a brand leader makes this week, priced to a fixed outcome instead of an open meter.
How quickly can we get a working dashboard in front of the brand team?
Weeks, not quarters. We start with the single decision that matters most to the launch or the number, wire up the data behind it, and get a trusted view in leaders' hands early — then extend across HCP targeting, access, and forecasting from there.
Tell us the question you're stuck on.
One conversation to understand the problem. Tell us what you're up against, and we'll tell you if we're the team to build the answer.