Building the Perfect Hotel Dashboard

Let’s be honest: hotel data can be overwhelming.

You’re collecting information from everywhere: your property management system (PMS), revenue management system (RMS), rate shopping tools, F&B systems, point of sale (POS), accounting tools, data platforms… and the list goes on.

But when it’s time to make decisions, most hotel teams are stuck with generic dashboards in static tools that don’t reflect the reality of their business.

The result?

Standard reports, static KPIs, and one-size-fits-all metrics that leave you with more questions than answers.

The truth is: your hotel’s analytics should be as unique as your property, your team, and your goals.

For example, a general manager (GM) needs to look at pick-up trends in a completely different way than a revenue manager or a finance director. Each role requires different KPIs, breakdowns, and views to make the right decisions, yet most tools treat them the same.

The GM might focus on overall pick-up numbers, occupancy growth, and how today’s bookings compare to last week or last year. Broad metrics that help guide daily operations. A revenue manager, however, will drill down into pick-up by rate code, market segment, room type, and lead time, looking at ADR (average daily rate) shifts and pace vs. forecast to adjust pricing. Meanwhile, the finance director will be more interested in pick-up’s impact on total revenue, RevPAR (revenue per available room), and profitability projections.

And that’s exactly why we’ve put together a simple framework to help you design a hotel dashboard that actually works for you, not the other way around.

Why Most Hotel Dashboards Fall Short

Hotels generate huge volumes of data every day.

The problem with most Business Intelligence (BI) solutions is that they serve up pre-set dashboards that don’t really match how your hotel operates.

What’s missing is customisation: the ability to focus on the data that matters, in the way you need to see it.

Without this, you risk:

• Wasting time sifting through irrelevant information.
• Missing out on actionable insights hidden in the noise.
• Making decisions based on incomplete or outdated data.

Sounds familiar? Don’t worry, you’re not alone.

The Four-Step Framework for Building the Right Hotel Dashboard

Whether you manage an independent hotel, a group of properties, or work in revenue, finance, marketing, or operations, this framework will help you take control of your analytics and make your data work harder for you.

Step 1: Identify Your Key Business Question

Before even thinking about numbers, ask yourself: What do I need to know to make better decisions?

Start by defining the question your data needs to answer. This keeps your analytics purpose-driven and relevant, while avoiding analysis paralysis from data overload.

Here are some examples:

• What’s the profitability of each guest segment?
• How’s F&B performance impacting my overall revenue?
• Which marketing channels bring in the most profitable bookings?

If you can’t answer these questions easily today, your dashboard isn’t doing its job.

Step 2: Pinpoint Your Essential Data Sources

Next, figure out where your answers live.

Chances are your data sits across multiple systems:

• PMS
• POS
• Benchmarking companies
• Accounting or budgeting tools
• Data platforms

To get the full picture, you’ll need to bring these together in one place.

Step 3: Define Your Core KPIs

With your questions and data sources clear, it’s time to focus on the specific metrics that truly matter.

Some examples to consider:

• Net RevPAR, GOPPAR, TRevPAR
• Revenue / Profitability by channel or segment
• Acquisition costs
• Flow-through percentages
• Departmental performance

Revenue by major segment at Juyo Analytics platform

Avoid the trap of tracking too many numbers and focus on the numbers that actually drive decisions.

Step 4: Design Your Visualisations

Finally, decide how you want to see your data. 

The right visualisations can turn complex data into instant clarity.

Do you want to see:

• Pickup and pace by guest segment?
• Profitability dashboards showing revenue vs. costs?
• Multi-property comparisons for your portfolio?
• Channel ROI with spend linked directly to revenue?

Start with the end in mind

Before diving into the data jungle, be crystal clear on what you’re trying to uncover. Are you chasing profitability, understanding booking patterns, or unblocking conversion bottlenecks? No goal, no glory.

Multi-property comparisons at Juyo Analytics platform

Zoom in on the KPI that moves the needle

Not all metrics are created equal. Focus on the few that drive outcomes, not the many that look pretty in a chart. 

Select the right dimension

Looking at totals alone is like trying to read a book with your sunglasses on. Slice it by channel, segment, source market, room type, anything that brings the ‘who’, ‘where’, or ‘how’ into the picture.

Add the breakdowns that bring context

Break it down before it breaks you. Comparing by month, weekday, booking window, or length of stay will reveal the patterns hiding in plain sight.

Ask the next question

Found an insight? Good. Now challenge it. Ask “why?”, “what changed?”, “what if?” That’s where data becomes strategy.

Choose the right visualization

Not everything needs a pie chart. Match the story to the format, line charts for trends, bar charts for comparisons, heatmaps when you want to impress your GM.

Your Dashboard, Your Rules

The framework is simple: Business questions → data sources → KPIs → visualisations.

This journey helps you build an analytics setup that supports smarter and faster decisions. When your team has the right insights at their fingertips, collaboration and performance improve across the board.

The key? Customisation.

Ditch the one-size-fits-all reports and build something that truly reflects your business, your role, and your goals.

That’s exactly what Juyo Analytics’ BI platform is built for:

• Bringing all your hotel data together in one place.
• Helping you design fully customised dashboards for every department.
• Turning complex numbers into actionable insights, fast.

Because when your data works for you, not against you, you make smarter decisions that drive profitability.