Every data ask lands on your desk.Now you answer them in seconds.
Querri sits on top of the EHR, payroll, CRM, and call systems you already run and answers plain-English questions across all of them. The CFO, ops, and the board get their numbers, and your IT team doesn't spend a weekend on it.
One question, four systems, one answer anyone on your team can get.Querri does the data work underneath.
The pressure doesn't come from IT.It comes from everyone else.
Each ask is reasonable. Each one crosses at least two systems. And each one currently costs an export, a weekend, and a number that's stale by the time it's presented.
Zero data staff isn't falling behind.It's the industry norm.
You run technology for an operator with somewhere between 2,000 and 12,000 units across dozens of communities. Your IT team is measured in single digits. Your stack is an EHR of the PointClickCare or MatrixCare class, a workforce platform, a CRM, a call system, maybe dining, and they don't talk to each other. Nobody on your team has "data" in their title, and across roughly 41,000 communities nationwide, that's the standard shape. Querri was built for exactly this shape of org: the data capability without the data department.
Hiring a data team is a multi-year bet.Here's what it actually takes.
Sometimes it's the right bet. Make it on purpose, with the real price tag in view, not by default because the asks kept coming.
The hires
A minimum viable data function is a data engineer for pipelines out of 6 to 10 vendor systems, plus an analyst for definitions and answers. One of them has to be senior enough to architect it. And you're recruiting against tech, finance, and health systems that pay more and offer peers.
The 12 to 18 months
Warehouse, pipelines, modeling, definitions, dashboards. That's the runway before cross-system answers your CFO trusts, if the hires work out. The AI layer everyone actually wants comes after that. And a solo data hire with no peers tends to leave right when the pipelines start breaking.
The consultant trap
An engagement can build you dashboards. Then it ends, definitions drift, an export format changes, a pipeline breaks quietly, and within a year you're back in Excel with a nicer-looking artifact of what used to work.
The part that's hard no matter who does it
Hire, buy, or consult, these three never go away. They're also exactly what Querri owns for you.
Right answers, every time
Your occupancy number feeds financing covenants, state reporting, and PBJ. Querri applies one definition of each metric, occupancy, census, move-in, whenever anyone asks, so the same question returns the same answer for every person who asks it.
Permissions that survive AI
Regionals see their region. An executive director sees one community. Corporate sees everything. Querri enforces that on every question, including the plain-English ones, with resident data in scope. "Mostly enforced" isn't a phrase you ever want to say to a surveyor.
Evals, forever
Vendor schemas drift and models change. Querri keeps verifying that answers are still right, every week, forever. It's the least visible cost and the one that quietly kills internal builds after the demo succeeds.
A data layer on systems you run.Live in weeks, not quarters.
A layer on top, not another migration.
Querri connects to the systems you already run. The EHR, workforce, CRM, and finance systems stay exactly where they are. Your IT team runs the program instead of building the plumbing.
Your definitions
Occupancy is defined by you, and applied whenever anyone asks, so the CFO, the regional, and the board deck stop disagreeing.
Your org chart is the access model
Regionals see regions, EDs see communities, corporate sees everything. Enforced on every question, however it's asked.
Answers on demand
"What's driving agency labor in the Northeast?" takes seconds, not a ticket in the queue. Anyone on the team can ask.
The hire vs. buy math, shown in full
The playbook walks the whole decision: the real cost of a data hire, the consultant trap, and how to sequence buy-then-hire without wasting either.
Hire vs. buy comes second.What's in your data comes first.
Start with one export from the system that matters most, or challenge us with as many sources and connectors as you'd like. In 3 to 5 business days you get a branded 4 to 5 page report: what's clean, what's broken, and what to fix first. Free, and yours to keep either way.