PMS exports, OTA booking feeds, F&B figures, and payroll files all arrive inconsistent. Reporting on that raw data produces numbers you cannot trust. ColtraDataAi cleans and validates hospitality data before it reaches your reports, so every figure in front of your GM, finance director, or owner is accurate.
Hospitality data is generated by multiple systems, channels, and teams, and the exports rarely match. Before any report is accurate, the data underneath it needs to be clean.
Room type labels change between export runs. Checkout dates appear before check-in dates. Booking reference formats differ between the direct channel and OTA imports. Every export is a fresh set of inconsistencies to resolve before you can report on it.
A reservation booked through Booking.com and also pulled in as a direct record is counted twice. Duplicates like this push your occupancy percentage up, make ADR look lower than it is, and throw off any channel-mix analysis you run from the same file.
The restaurant uses one item code format. The bar uses another. The events kitchen has its own naming conventions for the same dishes. Consolidating these into a single F&B report requires manual reconciliation work that takes hours and still produces errors.
A returning guest who has booked under two slightly different name spellings appears twice in your CRM export. Phone numbers lack country codes. Email addresses carry trailing spaces or formatting errors. Loyalty programme matching fails against records like these.
Part of our broader suite of hospitality data tools, the reporting tool produces structured outputs across four core areas of hospitality operations.
Occupancy rate, average daily rate (ADR), RevPAR, channel mix breakdown, cancellation rates, and length-of-stay distribution. Figures are calculated from cleaned, deduplicated booking data, not the raw export. The difference in accuracy is significant when duplicate OTA records are involved.
Outlet revenue by session, covers by meal period, average spend per cover, and void analysis. ColtraDataAi standardises item codes and outlet labels across the file before calculating totals, so a breakfast cover and a dinner cover from different kitchens are counted with a consistent methodology.
Housekeeping rota exports, payroll files, and supplier invoices each carry their own inconsistencies. Date format mismatches between scheduling software and payroll systems, missing shift codes, and inconsistent supplier names across invoice exports are cleaned before the operational report is generated.
Duplicate guest records, contact format errors, missing postcode fields, and loyalty programme ID mismatches are flagged and corrected in the export. The cleaned file is suitable for CRM imports, marketing campaign targeting, and GDPR audit purposes without further manual intervention.
This is what the same data looks like at the point of upload versus after ColtraDataAi has processed it.
No data team, no technical configuration, no API credentials. Just your file.
Drag and drop your PMS, F&B, or payroll export directly into ColtraDataAi. CSV and Excel files are both accepted. There is no template to conform to and no reformatting required before upload.
ColtraDataAi applies hospitality-specific cleaning rules: duplicate reservation detection, date field validation, room type standardisation, outlet code reconciliation, and guest record deduplication. This is not generic spreadsheet cleaning - the rules are built for how hospitality data actually arrives.
Download the cleaned data file and the structured report. The report covers what was found, what was corrected, what needs manual review, and the key performance figures calculated from the validated dataset. Both files are available immediately.
No integration, plugin, or API connection required. Export from any of these platforms as a CSV or Excel file and upload directly to ColtraDataAi.
If your system produces a CSV or Excel export, ColtraDataAi can process it. The hospitality cleaning rules apply regardless of the source platform.
Questions operations managers typically ask before uploading their first file.
Start with a free health check to see what is wrong with your current hospitality data, then clean it and run your first report. No credit card required.