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PMS & FLYR Data Discrepancy (Data Not Matching)

Michael Gimingham avatar
Written by Michael Gimingham
Updated this week

Our API & Metrics team have done an incredible job of establishing strong, stable connections with the best Property Management Systems in the world to ensure data integrity and accuracy wherever possible, however there may come a time whereby you notice that certain numbers between the PMS & for example, your Occupancy calendar view in FLYR might not match exactly on certain dates.

Or perhaps your Pick-up details don't seem quite right as you know that very recently you received quite a large booking for next month which doesn't seem to be represented in FLYR at the time.

This can be due to any number of reasons and it is important to first understand how we calculate various KPI's, which you can find here however the most common cause and key aspect to mention is that the data reflected in FLYR, updates hourly and the data simply needs to update over the next coming cycle as well as the fact that we display our data, by default, in NET at all times. To ensure revenue calculations match between systems, verify that the currency settings align between FLYR Insights and your local reporting. Adjusting the display currency to match your local context can significantly reduce discrepancies. This step can be particularly useful if revenue appears inconsistent at first glance.

FLYR Hospitality calculates OTB ADR using raw reservation data imported directly from your PMS. This method ensures that data reflects bookings rather than relying on PMS's summarized reports, offering a more granular view for analysis. Additionally, discrepancies may arise due to differences in transaction code inclusion. When reviewing revenue data, be sure to align codes such as "Accommodation Service Charge" or "Late Departure" between FLYR and your PMS reports to guarantee accurate comparisons.

This means that if perhaps you are looking at a report in Gross and see a mismatch in FLYR, that it is very likely the reason for this parity at a glance. For example, if the PMS report separates revenue by transaction type, ensure all relevant codes are accounted for in the comparison. Similarly, net displays in FLYR might differ from gross displays elsewhere unless configured accordingly.

However, in the very rare case that something seems to be clearly amiss with any data points, we highly suggest you reach out to our capable Customer Success Team via the chat in App so that they can assist and form a swift solution to the matter!

Best Practice for troubleshooting with our team πŸ™Œ

If you feel your data is not matching between Flyr and your PMS, we need your help as much as you need ours!

The best way to reach out to our team, as mentioned, is through the chat πŸ’¬ in your bottom left hand corner of the platform. This ensures that you get the full benefit of our entire team, one of which will assist as soon as they are able to.

What they need: Please be sure to mention the exact property name and as much additional information as possible around the two pieces of data which are not aligned. Screenshots and daily revenue reports are very much welcome as there is a high likelihood of them being requested, so having this already will ultimately speed up the process.

Examples that will help us investigate:

  • Adjusting currency settings in FLYR Insights for a specific report and noting the changes in revenue display.

  • Verifying the inclusion of specific transaction codes, such as "Accommodation Service Charge", when comparing FLYR and PMS data.

  • Providing detailed screenshots or reported figures showing disparities before and after key adjustments.

Mews - Manager Report By Day for a period slightly in the past and slightly in the future of where you are seeing this discrepancy for example the 12th - 15th of October it would be best to attach a report for the entire month of October

Opera - History and Forecast Report By Day for a period slightly in the past and slightly in the future of where you are seeing this discrepancy for example the 12th - 15th of October it would be best to attach a report for the entire month of October

CloudBeds - Occupancy Report By Day for a period slightly in the past and slightly in the future of where you are seeing this discrepancy for example the 12th - 15th of October it would be best to attach a report for the entire month of October

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