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How the temporary analysis of the KPIs of a hotel changes the way you understand it

Némesis Zerga — Tue, 07 Oct 2025 14:59:10 +0000

Temporal analysis of hotel KPIs allows you to see data not just as isolated figures, but as stories unfolding over time. This perspective brings clarity, context, and enables more precise decision-making. Here, we explain what it is, how to do it, why it matters, which tools to use, common mistakes, and how we approach it at Dataria. 1. What is temporal analysis of hotel KPIs? Temporal analysis involves tracking the evolution of key indicators—such as RevPAR, ADR, occupancy, or pickup—over time. It’s not just about recording numbers; it’s about understanding how, why, and when they change. This approach helps identify patterns, anticipate demand peaks, and spot deviations from previous periods or planned projections. 2. How is it done? Effective temporal analysis follows a few key steps: This methodology turns hotel revenue KPIs from raw statistics into actionable insights. 3. Why is it important? Temporal analysis provides strategic advantages: In short, it brings clarity and perspective, turning data into more accurate and effective decisions. 4. Which tools are used? Traditionally, this analysis relied on complex spreadsheets or multiple dashboards. Today, hotel Business Intelligence tools allow you to centralise and visualise information clearly and quickly. A good system should offer: With a BI system, you can centralise all your data in one panel, streamlining every step. Hotel-specific BI also enables automatic comparisons, visual alerts, filters by segment or channel, and deep dives into any time period with a single click. KPIs stop being isolated figures and start telling the full story—revealing patterns, trends, and opportunities that might otherwise go unnoticed. 5. Common mistakes in temporal KPI analysis of hotel KPIS Frequent errors that limit the value of temporal analysis include: Avoiding these mistakes ensures temporal analysis becomes a genuine driver of strategic insights. 6. Dataria’s approach At Dataria, we’ve created the KPI BI Calendar, a view that makes temporal analysis straightforward: In short, the BI Calendar transforms KPIs into a time-based dashboard within our hotel Business Intelligence suite—where every data point has its place, and every decision its moment. Book a DEMO to explore it in depth with our team. In short, the BI Calendar turns KPIs into a temporary board part of our Hotel Business Intelligence, where each data has its place and each decision its moment. Do you want to know more about it? Schedule a demo And discover it in depth guided by our team.

La entrada How the temporary analysis of the KPIs of a hotel changes the way you understand it se publicó primero en Dataria Revenue Management Software.

Beyond the Stars: Dynamic Hotel Benchmarking to reveal your true market position

Némesis Zerga — Mon, 30 Jun 2025 13:14:43 +0000

For years, the number of stars has been the main reference for understanding the position of a hotel in the market. Currently, in an environment where perception of value, the customer experience and the global offer weigh more and more, focusing exclusively on the category can lead to decisions that are poorly aligned with reality. Today, looking beyond the compset traditional and star is not only recommended: it is necessary. Why is the traditional category no longer enough? It’s time to move towards more in-depth hotel benchmarking Travellers compare experiences, not technical definitions. A guest in search of a charming getaway might weigh up both a 3-star boutique hotel and a standard 4-star.Which one do they choose? The one that offers better value for money, regardless of its official category. In that decision-making process, your competition isn’t just the hotel they end up booking — it’s any option they seriously consider. This means that other hotels in your area — even if they differ in category or type — are influencing the perception of your price, your value, and ultimately, your market share.And this is where smart hotel benchmarking comes in: a sharper, more relevant way to understand your position within your wider compset — including all the hotels that genuinely influence your potential guests’ booking decisions. So, what is Smart Hotel Benchmarking? Smart hotel benchmarking involves comparing your price and value proposition with the relevant set of hotels your potential guests consider when booking. This means adjusting for differences in category, services, reputation and perception to provide a fairer and more insightful assessment. This flexible, contextual approach lets you identify the real influences on your customers’ decisions, refine your pricing, and understand whether your hotel sits inside or outside the market — seen through the eyes of the consumer, not just your own. Unlike traditional revenue and pricing strategies — which rely on setting prices by comparing a handful of competitors with similar characteristics — this approach is dynamic, realistic, and far better aligned with how customers behave today. It enables you to understand, through comparison, how a hotel you wouldn’t normally consider as a competitor would be perceived if it shared the same characteristics as your establishment, but seen from the perspective of a potential guest. The compset: the ecosystem that shapes your market How many establishments do you monitor when you’re doing rateshopping? And how many do you actually consider when setting your pricing strategy? Although official categories still exist, most travellers make decisions based on perception — comparing photos, services, location, reviews, and above all, value for price. That’s why limiting your analysis to a traditional compset, rather than an extended one, risks overlooking competitors who are influencing your performance. Understanding how other hotels position themselves in your market — even those you don’t see as direct rivals — can be the difference between reacting too late and staying one step ahead with a sharper strategy. Hotel benchmarking tactics to gain a clearer understanding of your true position Here are some ideas for Smart Benchmarking to use the compset as a tool for analysis and decision-making: How to do it efficiently and make the most of your time? 💡 At Dataria, we’ve developed the innovation indicator DFQ (Fair Dynamic Quality), an algorithm designed to take benchmarking to the next level. It automatically adjusts for rate, category and perception, allowing you to compare your hotel with any other on the market and gain a clear understanding of whether you’re well positioned or need to take action. In addition, by combining this with other features in our suite — such as Automatic Pricing RMS — these criteria can be applied to automatically set rates, which are then sent directly to your Channel Manager for publication. You can take it further by evaluating results through automated reports based on key KPIs, covering everything from revenue to email performance. Fancy seeing it in action? We’ll walk you through it step by step in a demo.

La entrada Beyond the Stars: Dynamic Hotel Benchmarking to reveal your true market position se publicó primero en Dataria Revenue Management Software.

Anticipating hotel demand with smart KPI Alerts🧠

Némesis Zerga — Fri, 06 Jun 2025 14:55:24 +0000

Anticipating hotel demand isn’t just for the big chains anymore. In today’s fast-moving market, where every day matters, having foresight has become a strategic must — whether you run a small B&B, a seaside resort or a large hotel group. Seeing what’s coming allows you to adjust prices, strengthen your team, plan campaigns and make key decisions with confidence — not in the dark. But how can you really get ahead of demand without drowning in spreadsheets or reacting too late? The good news: there are practical ways to do it. Some are more hands-on, others more automated — but all share the same goal: to give you a competitive edge. ✅ Why is it important to anticipate hotel demand? Being able to anticipate demand helps you: Ways to anticipate hotel demand — tailored to your hotel’s size and complexity 📊 Here’s a list with different ways to anticipate hotel demand. Many of them can be combined, depending on your hotel’s size, location and structure: 1. Analyze historical data and behavior patterns Looking at how demand behaved in previous years on similar dates remains a solid starting point — especially in seasonal destinations or areas with recurring events. Limitation: Doesn’t account for unexpected changes or shifts in market conditions Advantage: Helps identify consistent peaks and drops 2. Monitor your pick-up and booking pace Are bookings coming in earlier or later than in previous years? These early trends can be a warning sign. A slower pick-up may signal a drop in demand. Tip: Always break it down by segment or channel — not just the global picture. 3. Track your compset and their pricing behaviour If your direct competitors suddenly raise or drop prices, they might have seen something you haven’t. Tools like a Rate Shopper can help you detect these changes instantly. Combined them with Automatic alerts so you don’t have to keep checking manually. 4. Activate a smart KPI alert system (like the one from Dataria!) At Dataria, we believe the key is having actionable insights at the right moment, without extra effort.That’s why we’ve launched a new KPI alerts add-on inside our Business Intelligence. With this feature activated, the system monitors your key indicators for you and sends you: You’ll no longer need to check dashboards every day. You’ll be alerted when: These alerts are fully customisable, drawing on your key indicators from the Rate Shopper, Parity, Online Reputation, and BI modules. Want to see it in action? 👉 Book a demo with our team and and find out how automated alerts can work for you. 5. Read the external market signals Local events, bank holidays, strikes, new flight routes or even weather forecasts — all of these can affect hotel demand. Bringing these into the picture gives you a fuller view. Tip: Rely on trustworthy sources and track them consistently. 6. Listen to your front desk and reservations team Sometimes the best “alerts” don’t come from a system — they come from the people who speak to your guests every day. If something starts to feel off or you’re hearing the same thing repeatedly, it’s worth digging deeper. 🚀 Anticipation + automation = smarter decisions These days, anticipating demand isn’t just down to instinct or experience. With tools like Dataria’s new KPI alert system, you can make that anticipation real, automated and actionable. It’s not about more data — it’s about having the right signals at the right time, with revenue metric notifications and smart alerts that help you focus and free up your time. 🧩 What do you need to get started? Ready to take the next step? If you want to see how KPI alerts work, book a demo with our team here, we’ll help you set up the most relevant alerts for your hotel and your way of working. 👉 Because anticipating demand is essential — and making it easy is part of what we stand for at Dataria.

La entrada Anticipating hotel demand with smart KPI Alerts🧠 se publicó primero en Dataria Revenue Management Software.

What a hotel should know before using a BI Software: What a Business Intelligence is for in hotels

Némesis Zerga — Thu, 22 May 2025 15:33:33 +0000

Data’s everywhere these days — from booking engines and PMS to OTAs, reputation sites, pricing tools and competitors. And the list keeps growing. In this data jungle, Business Intelligence (Hotel BI Software) has become a buzzword — a promise of clarity and control. But is it always that simple? Before you dive into buying hotel BI software, there are a few key things to know. Not all tools do the same job — and not all of them are built for the real day-to-day of running a hotel. 1. It’s not just about seeing data — it’s about understanding it A good hotel BI tool isn’t just a screen full of pretty charts. It’s something that turns raw data into clear insights. If your team can’t easily make sense of what they’re looking at, it’s not doing its job. 2. Some tools help — others just add pressure A lot of BI systems were built for big corporations or tech environments, not the fast-paced world of hospitality. The result? Blocked decisions, overwhelmed teams, and a constant feeling of chasing your tail. 3. Price doesn’t always equal value There are powerful solutions out there, but they often come with a price tag that only makes sense if you’ve got a dedicated BI team. Most hotels don’t. The key is finding software that brings value without blowing the budget. 4. Your BI should work with your day-to-day, not against it No point in having a brilliant tool if it pulls you out of your normal workflow. The best BI software plugs into your existing systems and presents data in a way that makes sense for hotel teams. 5. You don’t need to be a data analyst to benefit Business intelligence should be accessible to everyone on your team — not just the data wizards. That’s how you spread decision-making and reduce over-dependence on one person. So, what’s the point of Business Intelligence Software in hotels? All of this, without wasting hours, needing a degree, or breaking the bank. 🧠 A good BI doesn’t overwhelm — it empowers. If it’s well designed, it gives you freedom, not more things to worry about. So, how do you pick the right Hotel BI Software? Look for a BI that: Curious to learn more? At Dataria, we’ve spent over a decade listening to hoteliers asking for the same thing: a clear, visual and accessible way to understand what’s really going on in their business. That’s why we built a hotel BI software that doesn’t just show numbers — it filters the noise, highlights what matters, and runs at the pace of your team, in real time. Want to explore our tools in depth? Get in touch — we’d love to show you how Dataria can work for your hotel.

La entrada What a hotel should know before using a BI Software: What a Business Intelligence is for in hotels se publicó primero en Dataria Revenue Management Software.

RMS vs. Automatic pricing in hotels · How to take control of your hotel’s revenue

Némesis Zerga — Mon, 12 May 2025 12:44:58 +0000

Hotel pricing: letting a machine decide… or using tech to back your decisions? When it comes to hotel pricing, there’s a big difference between handing over your rates to a machine… and using technology to make better, smarter decisions. That difference —RMS vs. automatic pricing— is at the core of how we build revenue features at Dataria. In a past interview with Elena Mateos, CEO of HotelSaas —the Spanish-made tech portal— Pau Rivera, our CEO and co-founder, breaks down the thinking behind Dataria’s Revenue Management System (RMS), and how it helps hoteliers set prices more accurately without giving up control or human judgement. So, what exactly is an RMS – and how’s it different from automatic pricing? Comparing an RMS to automatic pricing is like comparing a co-pilot to cruise control: both help, but one gives you direction and judgement, the other just follows a route. Automatic pricing can be useful if you’re after speed and simplicity, but it often means losing sight of why prices are set a certain way. That can lead to rates that ignore what’s really happening in your local market. An RMS (Revenue Management System) is a tool that helps hotels set prices dynamically, using real-time data from your market, your comp set, demand trends and more. It analyses things like occupancy, demand shifts, competitor prices or destination events — all to help you set smarter, more profitable prices based on real context. Unlike automatic pricing —which usually relies on fixed rules or algorithms that push prices without explanation— a full RMS like Dataria gives you control, customisation and deep insight. It doesn’t just update prices — it lets you decide how and when to do it, based on rules you define using your knowledge of your hotel, your revenue goals and your key segments. Other systems might just “suggest” a rate. With Dataria, you call the shots. Why choose an RMS like Dataria? While some tools automate everything without telling you why, Dataria gives hoteliers real power: updated comp set data, short-term weather forecasts, and —if you’re using the Business Intelligence module (ours or another)— endless rule options based on ADR, pickup, forecast, budget or even SDLY. The system then applies the logic you’ve defined to calculate prices that make sense for you. “No algorithm knows your market better than you do. We give you the data — you set the rules.”— Pau Rivera, CEO of Dataria Still unsure whether an RMS is worth it? Here’s what you get with Dataria’s approach: RMS vs. automatic pricing: who’s really in charge? Many hoteliers hesitate when it comes to revenue systems. They fear “losing control” or ending up with absurd prices set by a robot. And they’re not wrong — when pricing becomes a black box, trust and coherence go out the window. Dataria’s RMS is built to do the opposite: to empower your team, not replace them. It automates the boring bits — but only under the rules you’ve chosen. That means you can go hybrid: let the system run on its own or review every change before it goes live. Is an RMS right for every kind of hotel? From big chains to boutique B&Bs, there’s an RMS for every size and type of property. That said, there’s still a myth around RMS being “too expensive” or “too complex” for small independents. Dataria’s designed to break that barrier. With a modular approach and monthly pricing, you can start small and scale as you grow. Plus, our onboarding team offers hands-on support, and the suite’s intuitive design keeps the learning curve low. The tool keeps evolving too — adding new data sources and features based on what our clients actually ask for. Like our Rate-O-matic feature, new BI metrics, and more to come — all driven by constant listening to hoteliers like you. Fancy giving it a go? Still torn between RMS and automatic pricing? If you’d like to see the difference for yourself, book a guided demo with our team. It’s a great way to understand how we think at Dataria — and how we can help you take your pricing strategy to the next level.

La entrada RMS vs. Automatic pricing in hotels · How to take control of your hotel’s revenue se publicó primero en Dataria Revenue Management Software.

Dynamic pricing, custom rules and stronger decisions in new hotel pricing algorithms

Némesis Zerga — Mon, 14 Apr 2025 17:00:21 +0000

New Conditions and Actions in Hotel Automatic Pricing Rules We’ve upgraded the hotel pricing algorithms engine in our RMS to make it even more powerful and precise. You’ll now have greater control over the details, with finer adjustments and more flexibility. The system’s logic has been optimised to adapt prices with even greater accuracy to each situation. You define the framework and desired actions — the system takes care of the rest, mathematically applying your mindset or pricing philosophy. Every decision made by our intelligent Automated Hotel Pricing algorithms now carries more weight, meaning, and reliability thanks to expanded and improved rule configurations. Imagine being able to automatically adjust your rates if you haven’t received any bookings over the past X days. Or the opposite: if your pickup is strong and rooms are selling fast, the system could increase your base pricing strategy by X% — no manual input, no need to analyse the data yourself. Ever wished you could set dynamic prices that automatically align with your budget targets? How would your pricing strategy change if you could automatically update your rates based on whether last year’s ADR was higher or lower — ensuring you’re always working to optimise revenue? Well, now you can. The new version of our Automatic Pricing rule configurator includes two major improvements: 🔧 New Rule Modifiers Based on Key Business Intelligence Metrics You can now create rules based on vital KPIs like ADR, RevPAR, Revenue, and more — and compare them across different benchmarks like Last Year, Budget or Forecast. You can also apply filters — for instance, by distribution channel — to fine-tune your pricing policies with maximum detail. Example:If your current Forecast is 10% below budget for this month, and that drop is concentrated in OTAs, you can set a rule to reduce rates by 7% — only for those specific channels and room types. 🎯 New Price Setting Actions Based on BI Metrics You can now trigger price changes based on key Business Intelligence indicators like ADR, Forecast or Budget — with the added option to filter by channel or customer type. Example:If your ADR over the past 7 days is lower than the same period last year, the system can automatically reduce your base rate by 5%.Or if your pickup in the last 3 days crosses a set threshold, the system can trigger a price increase for direct bookings only. Believe in hotel pricing algorithms? It’s pure maths! Book a DEMO with our sales team, explore the full capabilities of our Automatic Pricing module, get your questions answered, and enjoy a free temporary trial to see Dataria Revenue Technology in action. And don’t forget to subscribe to our newsletter to stay up to date with the latest in Revenue Management innovation.

La entrada Dynamic pricing, custom rules and stronger decisions in new hotel pricing algorithms se publicó primero en Dataria Revenue Management Software.

The Dataria Revenue Toolbox at Hotel Tech Report

Némesis Zerga — Mon, 14 Apr 2025 13:14:29 +0000

Hotel Tech Report is widely recognised as the leading global marketplace for hotel technology, serving as a trusted resource for hoteliers seeking reliable information and reviews on a wide range of hotel software solutions hotel.report. The presence of Dataria on Hotel Tech Report underscores our commitment to transparency, quality, and user-driven content. This collaboration highlights the profiles of our main modules, reflecting our dedication to providing innovative solutions in the hospitality sector. Business Intelligence | Automatic prices | Rate Shopper Dataria’s Business Intelligence at Hotel Tech Report Our BI module is the core component—the “mother” module—from which various more specialised modules stem, streamlining hoteliers’ routine tasks. It serves as a second brain that, as described in the Dataria profile on Hotel Tech Report, “transforms hotel data into practical information to make smarter and faster decisions.” Dataria’s Business Intelligence is a comprehensive dashboard solution that transforms complex hotel data into clear, actionable insights for daily use. Designed specifically to support decision-making, it blends advanced analytics with AI-powered summaries to highlight what really matters. Seamlessly integrating with existing hotel systems, it offers an in‑depth view of performance via key metrics such as occupancy, ADR, RevPAR, booking pace, cancellation patterns, forecasting and channel profitability. Thanks to its specialised modules—such as multi-segmentation comparisons, multi-property benchmarking and custom reporting—it empowers operators to understand their business better, optimise strategies, and make faster decisions aligned with their objectives . Automatic prices or our RMS at Hotel Tech Report It tops the marketplace profile by highlighting its operation and purpose: “easily choose the variables that interest you most—such as occupancy, demand, advance bookings or competitor prices—and let the system automatically calculate and update the optimal price.” Automatic Pricing is Dataria’s Revenue Management Suite, designed to help you maximise revenue with minimal effort. It automatically calculates the ideal rate for each room, tariff and channel based on key data points such as occupancy, demand and competitor pricing. With fully customisable algorithms, you can adjust your pricing strategy in real time to meet evolving business needs. Thanks to the innovative Rate-O-Matic feature, you can blend your hotel’s internal data with market intelligence to always offer competitive and context-aware pricing. Both Dataria Business Intelligence and the Automatic Pricing module (RMS) support KPI alerts — an optional add-on that notifies you of critical insights, such as: Dataria’s Rate Shopper at HotelTech Report “Compare competitor prices in seconds, all via a powerful yet intuitive interface with exclusive features.” As highlighted in the module’s profile on Hotel Tech Report, Dataria Rate Shopper is an essential tool for crafting competitive and effective pricing strategies. It delivers real-time rate data from competitors, detailed by room type, minimum length of stay (MLOS), base rates and more—all through a user-friendly dashboard. The module includes Parity Rate monitoring across all channels, helping you maintain consistent pricing policies. Plus, as an extra bonus, it comes with an Online Reputation module that enables review management directly from within the platform—reinforcing your brand’s presence and guest perception in the marketplace . If you’re already working with us and our solutions have made a difference in your daily operations, we warmly invite you to share your experience on Hotel Tech Report by leaving a review on our profiles. Every opinion matters—your feedback helps us continue improving, growing, and bringing the most useful and human-centred technology to the hospitality sector. If you’ve never done it before, this post may help you: “How to write a review on Hotel Tech Report?” Thanks for being part of this continued evolution!

La entrada The Dataria Revenue Toolbox at Hotel Tech Report se publicó primero en Dataria Revenue Management Software.

How to write a review on Hotel Tech Report — and why it matters for hoteliers

Némesis Zerga — Fri, 07 Mar 2025 09:17:00 +0000

Have you ever asked yourself: How do I write a review on Hotel Tech Report? Whether you’re using a tech solution that’s made your daily work easier, or simply want to support fellow hoteliers in their decision-making, leaving a review on Hotel Tech Report (HTR) is a great way to contribute and become a reference point within the hotel ecosystem. What is Hotel Tech Report? Hotel Tech Report is the world’s largest hotel technology marketplace. Thousands of hoteliers use it to compare software, read real reviews, and discover new tools to improve their day-to-day operations. Reviews play a crucial role, helping to build trust and spotlight the most useful and reliable providers. Why write a review on HTR? Leaving a review not only helps other professionals in the industry — it also: How to write a review in Hotel Tech Report? The process is very straightforward and will only take a few minutes. For example, if you’re already our client and wish to leave a review for one of our tools, here’s a step-by-step guide: 4. You’re all set!Your experience is already helping other hoteliers make better decisions. 5. Validate your reviewTo ensure authenticity, HTR will ask you to verify your relationship with the company—usually by using your corporate email or, alternatively, your LinkedIn profile. It’s a quick and secure process. Please complete the form with your details: full name, position, and corporate email address. Some points to consider when writing a review on Hotel Tech Report All set to share your experience? If you work with Dataria and our solutions have helped you improve your hotel management, we invite you to leave your review on Hotel Tech Report. Your feedback can make a real difference. 👉 Write your review on HTR here

La entrada How to write a review on Hotel Tech Report — and why it matters for hoteliers se publicó primero en Dataria Revenue Management Software.

What is the impact of price–quality perception on hotel reservations?

Némesis Zerga — Tue, 11 Feb 2025 11:26:33 +0000

The perception of the value for money in the reservations of a hotel is crucial in the decision to buy a potential guest. When a traveler chooses a hotel, the perception of the value of the reservation plays a crucial role in his purchase decision. A competitive price is a perceived value but many times, it is not enough. An experience aligned with the value that the customer expects to receive can really make a difference.

La entrada What is the impact of price–quality perception on hotel reservations? se publicó primero en Dataria Revenue Management Software.