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HotelIQ Named 2018's Top Rated Business Intelligence Software in the HotelTechAwards

HotelIQ Think Tank 14 April 2018
Hotel Tech Report has named HotelIQ 2018’s top-rated Hotel Business Intelligence Software based on data from thousands of hoteliers in more than 40 countries around the world. Over 100 of the world’s elite hotel technology products competed for a chance to win this prestigious title.

Business Intelligence Answers the Questions Revenue Management Asks

HotelIQ Think Tank 26 July 2017
The discipline of Hotel Revenue Management and the practice of Business Intelligence (BI) are complimentary in many ways. Revenue management is largely about understanding hotel and market business trends and optimizing hotel performance based on a projected set of conditions. It is a “question-based” discipline, putting forth questions like how much a hotel can charge on a given day, or how many group rooms a hotel should accept several months in advance. Business Intelligence is about engineering an environment of answers – ensuring that business processes support a high quality of resultant data, and providing the technological means for those data to be analyzed efficiently and effectively. Business Intelligence is factual – it is an “answer-based” practice. Business Intelligence helps to answer the questions that Revenue Management asks.

Business Intelligence Begins with Data; Data Management Begins with BI

HotelIQ Think Tank 19 July 2017
As business intelligence begins to permeate the hospitality sector, one thing is certain: You can take a “buy” approach, implementing a BI module from a hotel systems provider (for instance, as part of your PMS, CRS or Sales & Catering system) or from a third-party solutions provider. You can take a “build” approach, securing the funding and setting out with your IT team to implement something from scratch. In either case, the certainty is that hotel business intelligence begins with data. Data is the lifeblood of the hotel reporting, analytics and dashboards that are the output of any such BI initiative. And while high-quality data (complete, accurate and uniform) won’t alone ensure the success of your hotel BI initiative, low-quality data (full of holes, errors and inconsistencies) will certainly ensure the failure of your initiative if not addressed.

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