Hospitality Reporting Tool

Hospitality Reporting Tool That Cleans Your Data First

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.

Why Hospitality Reports Keep Getting It Wrong

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.

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PMS Exports Arrive in No Consistent State

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.

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Duplicate Records Inflate Occupancy and Revenue

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.

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F&B Figures from Multiple Outlets Do Not Match

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.

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Guest Records Are Full of Duplicates and Format 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.

What the Hospitality Reporting Tool Covers

Part of our broader suite of hospitality data tools, the reporting tool produces structured outputs across four core areas of hospitality operations.

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Booking Performance

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.

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F&B and Covers

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.

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Operational Data

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.

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Guest Data Quality

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.

Why Clean Before You Report

This is what the same data looks like at the point of upload versus after ColtraDataAi has processed it.

What Your PMS Export Looks Like

  • Room types labelled "DBL", "Double", "Double Room", and "Dbl Std" for the same category
  • Checkout date recorded as 11/03/2025 in some rows and 2025-03-11 in others
  • A Booking.com reservation appearing once from the channel feed and again from the front-desk import
  • Three rows where checkout date is earlier than check-in date
  • Rate code field blank for 14% of reservations
  • Guest surnames in all capitals in some rows, title case in others

What ColtraDataAi Produces

  • All room type variants resolved to a single standardised label per category
  • Date format consistent across every row in the file
  • Duplicate reservations identified, flagged, and removed from the working dataset
  • Date logic errors surfaced clearly with row references for manual review
  • Missing rate codes flagged in a separate exceptions report
  • Guest name format standardised to title case throughout

Three Steps to a Clean Hospitality Report

No data team, no technical configuration, no API credentials. Just your file.

1

Upload Your Export

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.

2

Domain-Specific Cleaning Runs

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.

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Download the Clean File and Report

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.

Works With Your Existing Systems

No integration, plugin, or API connection required. Export from any of these platforms as a CSV or Excel file and upload directly to ColtraDataAi.

Opera PMS (Oracle) Mews Guestline RMS Cloud Lightspeed Restaurant Fourth / HotSchedules OpenTable exports TripleSeat Sage HR Xero Excel / CSV Any PMS Export

If your system produces a CSV or Excel export, ColtraDataAi can process it. The hospitality cleaning rules apply regardless of the source platform.

Hospitality Reporting Tool: FAQs

Questions operations managers typically ask before uploading their first file.

Read our guide: How to Report Hospitality Data - a practical walkthrough of the most common reporting challenges and how clean data changes the output.
A generic spreadsheet tool has no knowledge of hospitality data structures. ColtraDataAi applies domain-specific cleaning rules that understand PMS field conventions, booking channel data, room type naming patterns, covers-by-session formats, and payroll rota structures. It catches errors that a standard spreadsheet formula would miss entirely, such as checkout dates recorded before check-in, duplicate booking references across OTA and direct channels, and room type labels that vary between exports from the same PMS.
No direct integration is required. ColtraDataAi works with standard CSV and Excel exports from any property management system, including Opera PMS, Mews, Guestline, and RMS Cloud. Export your data from your PMS as you normally would, upload the file, and ColtraDataAi handles the rest. There is nothing to install and no API credentials to configure.
ColtraDataAi identifies and flags duplicate reservation records that appear across channels. A booking entered via an OTA and also captured as a direct reservation is a common source of inflated occupancy figures and inaccurate revenue totals. The tool surfaces these duplicates clearly so they can be resolved before the data is used in any report or reconciliation.
Yes. Files that consolidate data from multiple properties or venues are supported. ColtraDataAi standardises inconsistent property codes, room type labels, and outlet naming conventions across the combined file so that group-level reporting reflects consistent, comparable figures. The Professional and Business plans support larger consolidated files up to 250,000 and 1,000,000 rows respectively.
Yes. Files are processed securely and guest personal data is never permanently stored on ColtraDataAi servers. The platform is GDPR-compliant by design. No guest data is retained after processing, and no data is shared with third parties. Full details are in the ColtraDataAi Privacy Policy.

Ready to Report on Data You Can Trust?

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.

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