Choose a hotel BI tool by naming the three decisions you want it to support, then checking it can read every system those decisions depend on. Test how it reconciles a number that differs between the PMS and the accounting system, and insist on seeing a dashboard built with your own data before you sign.
PMS, channels, finance and guest systems into reports and dashboards, so decisions about pricing, ">Business intelligence goes wrong when it is bought as a category rather than for a purpose. Write down the three questions you cannot answer today without a spreadsheet evening: which segment is really profitable, where the booking window is shifting, what the cost of acquisition is by channel. Those questions define the shortlist.
Then check that the tool can answer them with the data you actually have. A question about channel profitability needs OTA or travel agency, for delivering the reservation. It is the dominant cost of third-party distri">commission data, and commission data often lives outside the PMS. If nobody can tell you where a number comes from, the ADR, RevPAR and pickup, in near real time, so managers can spot problems and opportunities without digg">dashboard will not be trusted.
Ask for the named integrations with your PMS, channel manager, booking engine and accounting system, and ask what each one reads. A connector that pulls nightly revenue but not cancellations produces a picture that looks right and is wrong, which is worse than an obvious gap.
Ask about refresh frequency too. Daily is enough for strategy and useless for pickup monitoring. Know which of your questions need yesterday's number and which need this morning's, because the second is significantly more expensive.
Skip the research, talk to someone who has done it 45 minutes with an independent specialist. Free for hotels, no pitch, no commissions. Book a free session →The same month will show different revenue in the PMS and in accounting, because one counts the stay and the other counts the invoice. A good tool makes the difference explicit and lets you pick the definition. A weak one silently chooses, and you discover it in a board meeting.
Ask to see how a specific metric is defined and whether you can change it. RevPAR, occupancy and ADR all have variations around complimentary rooms and out of order inventory. The definition must match the one your team already uses, or every report starts with an argument.
Before buying, agree who opens which view and on what day. A revenue meeting with one shared dashboard beats twenty dashboards nobody has bookmarked. Ask whether the tool can push a scheduled summary by email, because for most managers that is the only report they will reliably read.
Insist on a proof of concept using your own data rather than a demo dataset. Your data will be messier, and how the vendor handles that mess during the trial is the most useful signal you will get about the years after.
Yes. PMS reports describe what happened inside the PMS. A BI tool combines several systems, so it can relate revenue to acquisition cost, or occupancy to labour. If all your questions can be answered from one system, you do not need a second tool yet.
For a single property with stable reporting, often yes, and considerably cheaper. The spreadsheet stops working when the manual consolidation takes longer than the analysis, when versions start diverging, or when the person who built it leaves.
Two to three years lets you separate seasonality from trend. With less, the tool is still useful for current pace and channel mix, but be careful with any conclusion about year on year patterns drawn from a single cycle.
Whoever runs the revenue meeting, because that is where the numbers turn into decisions. Ownership by finance alone tends to produce accurate reports nobody acts on, and ownership by marketing tends to produce acquisition views without a cost side.
Connecting the systems is usually the fast part. Agreeing definitions across departments takes longer and is where the schedule slips. Plan for several weeks of reconciliation before anyone trusts a dashboard enough to make a decision from it.
Building many dashboards before agreeing which decisions they support. The result is a system that is technically complete and operationally ignored. Start with one view used in one recurring meeting and expand only when it is genuinely relied on.