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RevPAR, Occupancy Rate, ADR, and Other Hotel Metrics: How to Evaluate Your Property’s Performance

Altexsoft

In the hospitality industry, choosing the right metrics and carefully tracking them can help you as the hotelier or hotel manager to understand how your hotel is performing, compare it with your competitors, and possibly find the weak points and opportunities for improvement. Occupancy rate, ADR, and ALOS: basic operational metrics.

Hotels 64
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Occupancy Rate Prediction: Building an ML Module to Analyze One of the Main Hospitality KPIs

Altexsoft

The occupancy rate is a key indicator of the historical, current, and looking-forward performance of a hotel or vacation rental business. The occupancy rate in hospitality is the share of occupied hotel rooms or vacation rental units at a given time. Overall, average hotel occupancy rates range between 65 and 80 percent.

Hotels 52
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Bed Banks: Comparing Accommodation, Travel Ancillaries, Connectivity of Hotelbeds, Travco, Bonotel, HotelsPro, and WebBeds

Altexsoft

The wholesaler’s portfolio includes from over 170,000 to over 180,000 hotels (numbers from official sources differ) in 185 destination countries. The properties cover all accommodation types, so Hotelbeds partners can deliver to various market segments: Hotels. Boutique hotels. Hotel Booking API. Hotel Content API.

Travel 25
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After a record year for Israeli startups, 16 investors tell us what’s next

TechCrunch

Any area that is exposed to mass physical engagement (pockets in travel, food, sports, etc.) Hyperguest, creating direct connectivity between hotels and OTAs. We are seeing many successful Israeli SaaS companies across the board, from marketing and collaboration tools, business intelligence products, to payment systems.

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Analytics Maturity Model: Levels, Technologies, and Applications

Altexsoft

We will describe each level from the following perspectives: differences on the operational level; analytics tools companies use to manage and analyze data; business intelligence applications in real life; challenges to overcome and key changes that lead to transition. Ground level of analytics. Data warehouse architecture.

Analytics 102