One clean model

One clean model of your data, before anything gets built on top of it.

A bounded, fixed-price sprint that turns the exports from every system you run into one normalized model: properties named once, fees categorized once, payouts decomposed, history rescued.

Useful on its own, and the foundation for the reporting, migration, or AI build that comes next.

The situation

It is the fifth of the month, late in the evening, and someone at your company is inside the spreadsheet again. The same properties carry three different names across your systems. The same fee is booked one way in the PMS, another way in the accounting file, and a third way in the export an acquisition brought with it. Half the history lives in spreadsheets, or in a PMS you left two migrations ago.

The mess has structure, and its three causes are documented by the vendors' own materials. OTA payouts arrive pooled and net: one deposit covering many reservations, with fees deducted at source and sometimes taxes withheld, while your books need gross revenue, per property, per fee type. The PMS and the accounting file disagree by construction, because a PMS is not an accounting product, as its own makers will tell you, and what it records is not what a ledger needs. And history does not survive migrations: vendors move your future reservations and archive your past as read-only exports, which is how the third naming convention got there in the first place.

There is also a newer reason this surfaces now. The AI features every vendor is shipping need exactly this layer to exist. Gartner predicts that through 2026, organizations will abandon 60 percent of AI projects that are not supported by AI-ready data. The vendors say the same thing in their own words: the AI is only as good as the data underneath it.

What the sprint delivers

A data-readiness sprint is a bounded, fixed-price pass that ends with your data in one model you own.

01

An inventory of your systems and what each one can actually export, before anything is promised.

02

One normalized model: properties named once, fee and expense categories unified, chart-of-accounts mapping agreed with your accountant.

03

OTA payouts decomposed back to gross, per property, per fee type, so the deposit in the bank and the revenue in the books stop being different stories.

04

History brought in, from spreadsheets and from the read-only exports previous migrations left behind.

05

Verification against a month you know to be true, so trust in the model is checked, not assumed.

06

Delivered as data and code you own, documented, on your infrastructure.

It is sold as a sprint with a fixed price, not as another subscription. It ends, and you keep the result whatever you build next.

Why not a bookkeeping service or the vendor's migration team

An ongoing bookkeeping service cleans as it goes, on a retainer that does not end, and when clean monthly books are genuinely all you need, that is the cheaper answer and we will say so. Your PMS vendor's migration team is built to move you onto their system: the future comes with you, the past gets archived. A BI subscription draws charts on top of whatever the data already is, which is the problem restated, not solved. The sprint is the shape none of them sell: a bounded pass over everything, with an end date, whose output belongs to you rather than to a tool you rent.

How the build goes

01

Show us your systems and one month you trust.

Free fit call. We inventory what each system can export. If the mess is shallow enough that your PMS reports or your bookkeeper can carry it, we will tell you on the first call.

02

A $2K discovery, one week.

We connect to the real exports, confirm what each system can actually give us, and hand you a firm fixed quote for the sprint. Credited in full if you proceed. The discovery maps and quotes; the sprint below builds the model.

03

A working prototype in two weeks.

That month reconstructed inside the normalized model and checked against the numbers you know to be true.

04

The decision point.

The full history and the remaining systems come in. Fixed scope, fixed price, and the model is yours whether or not anything else gets built on it.

Proof

The Week 2 check against a known-true month is the same method behind every build we do, and the model this sprint produces is the exact layer our reporting builds run on. The financial discipline underneath it comes from the trust accounting of Vacation Rental Connect, in production for fourteen years.

Owner Money, Right to the Cent

Questions operators ask about data readiness

Data readiness is the state where the data spread across an operator's systems has been turned into one consistent, normalized model, properties named once, fees categorized once, payouts attributed per property, so that a reporting layer, a migration, or an AI feature can run on it and be trusted. Without it, whatever gets built next inherits the inconsistencies underneath.

Show us the exports that do not agree, and one month you trust. Two weeks later, that month lives in one clean model, checked against your own numbers.

Free call focused on your operation or your platform, not a generic pitch. If a custom build is not the right answer for your situation, we will say so.