Built for commercial teams that don't have a data team.
Most analytics firms are built for companies with large data teams. We're built for the commercial decisions a data team can't get to, whether that team is fifty people or just you. You own the number. We build the system that hits it.
20+ years turning commercial data into decisions for teams at Alkermes, Azurity, McAlister's, Roark Capital, and Kaiser Permanente.
The data exists. The team to use it doesn't.
You can see the question you need answered. What you can't see is a clean path to it — because the data lives in five systems, the reports are built by hand, and the person who'd fix that is you, between everything else.
The data exists.
The software exists.
The team to turn one into the other is what's been missing.
Every leader in this position is handed the same three options. Two of them cost you a year. Here's the honest comparison.
| Hire a data team | Buy a platform | Bring in Rower | |
|---|---|---|---|
| Time to first decision | 3–9 months to hire and ramp | Weeks to deploy, then it's on you to interpret | Weeks to working, trusted reporting |
| What it costs | Fixed salary load, benefits, management | License + the analyst you still need to run it | One fixed fee, scoped to the outcome |
| Who owns the answer | A new hire learning your business | You, staring at a dashboard | A senior partner who's done it 20+ years |
| What happens after | Ongoing cost whether decisions improve or not | Another tool to maintain | The system and its logic stay yours to keep |
| Best when | You already run a data organization | You have people to point at it | You own a number and have no team behind it |
Most firms assume you're in column one. If you're not, the first two columns quietly ask you to become someone else before they'll help. Ours doesn't.
Six things you walk away owning.
Not a report. A working system for turning what you know about your customers, markets, and competitors into answers you can act on.
One trusted version of the number
Sales, marketing, and operations stop arguing about whose figure is right and start deciding from one.
The reports leaders run on
Built for the decision you make on Monday, not the meeting you present on Friday. Software-grade, not a spreadsheet in disguise.
Your most valuable customers, named
Not the loudest accounts. The ones worth building the strategy around.
A read on the competition
Where rivals are winning, where they're exposed, and where there's ground to take.
Capital pointed where it returns
Stop funding everything evenly. Fund what compounds — with the numbers to defend it.
Decisions, not dashboards
Every engagement ends with a better decision. If a piece of work can't be traced to a commercial outcome, it doesn't belong in it.
We close the loop.
An insight that never changes a decision is just trivia. Every engagement is built to travel the whole distance — from what the data says, to what you decide, to what it earns.
Our Executive Decision Systems™ method wires those four steps into one instrument, so the loop keeps running after we leave.
A commercial team of one. Monday, 7 a.m.
You own regional revenue. There's no analyst down the hall. Before Rower, Monday means exporting from the CRM, pasting into a workbook, and reconciling it against finance's version before you can even ask the real question.
- See One trusted view already reconciles CRM, finance, and market data overnight.
- Decide It flags the three accounts slipping and the two segments quietly outperforming.
- Act You reallocate the week's focus before your 9 a.m. — with the numbers to back it.
- Track Next Monday, the same view shows whether the move worked.
The workbook Monday disappears. The decision Monday is all that's left.
The technology serves the decision. Not the other way around.
We build with AI, modern analytics, and the platforms your business already trusts — chosen for the decision in front of you, then kept out of your way. No rip-and-replace. No new stack to learn.
Some firms hand you a strategy and leave. We stay until the number moves.
What leaders say after working with Rower.
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.
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.
A fantastic partner for our Data & Analytics team. Their results speak to the quality of their work — they take the time to understand the situational context and consistently hit the mark.
Before we start.
We don't have anyone to "own" analytics internally. Does that break the engagement?
No — that's the engagement. We're built for teams where the person accountable for the number is also, by default, the person accountable for the data. You don't need a BI hire, a data engineer, or an internal champion who speaks SQL. We install the reporting, connect the sources, and hand you something you run the business on. The judgment stays with you; the plumbing becomes ours.
How is this different from hiring a data analyst or building a team?
A first analyst takes months to hire and ramps on your systems before producing anything you'd show a board. A team is a fixed cost that grows whether or not the decisions improve. We deliver working reporting in weeks, priced against a defined outcome rather than headcount — and when the engagement ends, the system and its logic stay with you. Many clients eventually hire a team; we make that hire land into something instead of starting from zero.
How is this different from buying an analytics platform?
A platform gives you capability. It doesn't give you the decision. Most tools are observational — they aggregate and display, then leave you to interpret, align, and decide. We build on the platforms you already trust (Tableau, Power BI, Snowflake, Databricks) and tune them to the specific decision in front of you, so the output is an answer, not another dashboard to staff.
What does "fixed fee" actually mean for a project like this?
We scope the outcome, then price it. You know the number before we start, and it doesn't move because a project ran long. That structure exists because our clients don't have a procurement team to referee an hourly meter — they need to know the cost of the decision up front.
How fast do we see something usable?
First working reporting typically lands in weeks, not quarters. We start with the decision that matters most to your number, wire up the data behind it, and get a trusted version in your hands early — then extend from there. You feel progress before the invoice, not after.
What size company is this built for?
Revenue-accountable commercial teams — in specialty pharma, multi-unit restaurants and franchising, and adjacent sectors — that carry a real number and a real data problem, but no dedicated data organization to solve it. If you have a mature internal data team already, you're likely better served elsewhere. This is for the leaders that model overlooks.
Tell us what you're up against.
One conversation to understand the problem, and whether you need a team to reach it, or just us.