We build the systems hospitality leaders use to think.
Pacing intelligence, hospitality performance, and AI strategy for operators who need their data to be operational.
Hospitality has more data than ever. The answers are harder to find than ever. We build the systems that close that gap, and the interfaces leadership teams use to make decisions.
Every operator weighs the same handful of options. Here is where each one breaks down, and what we do instead.
01 / The alternative
Tableau, Looker, or Power BI on a warehouse
Priced and built for 200-property chains with an internal BI team to run them. Drop one into a three-hotel portfolio and you have bought a tool you now have to go staff. Even configured, it speaks the vendor’s data model, not a banquet director’s question.
We bring the analytical layer and the operator who knows what to ask of it. You get the answer, not a platform to hire around.
02 / The alternative
Big-four and hospitality advisory firms
A six-figure engagement that ends in a slide deck nobody opens after the kickoff. Built by people who have read about operations but never run a Saturday night on the floor.
Fixed scope, fixed fee, and a deliverable measured by whether your team actually uses it. Built by operators, not analysts.
03 / The alternative
PMS, POS, and RMS native reporting
Each one reflects its own system and its own agenda. You end up with six tabs open and no synthesis, still reconciling it by hand in a spreadsheet at midnight.
One operator-framed view across every system. The half-dozen tabs become a single source of truth.
04 / The alternative
Hiring a contractor or tasking your own team
A freelancer is a bus-factor of one whose undocumented work walks out the door when they do. Building it in-house assumes the operators best qualified have time they do not have. Both tend to end in half-finished spreadsheets.
Two principals, documented playbooks, and a second-principal review on every deliverable. Repeatable, accountable, and it does not vanish.
We are the middle market’s BI bench. Adoption is the only metric we keep.
Every engagement runs the same disciplined path, from the first call to the day your team is using it on their own.
Step 1
A 30-minute call to pressure-test the question and confirm fit. You leave with a fixed scope, a fixed fee, and a timeline. No open-ended retainers, no surprises.
Step 2
Principal-led work against a playbook we have run in production before. Every deliverable gets a second-principal review before it ever reaches you.
Step 3
A working readout, a handoff package, and a 30-day support window. We measure the engagement one way: whether your team actually uses what we built.
Hospitality Data Solutions is operator-led, with deep careers across hotels, restaurants, and the data systems that connect them. The systems we build are the ones we needed when we were running the day.
