All three of these customer segments - Millennials, family vacationers and business travelers share a common expectation from hotels, which is to receive a higher level of customized service.
Using big data, Four Seasons measured how each restaurant was performing based on a comparison with year-earlier operations.
Data mining and analytics helps hotels sift through massive data sets for meaningful relationships, where they can anticipate, rather than simply react to, customer needs.
With data, RMS analytics generated billions of forecasts used for further optimisation, subsequently producing billions of pricing, availability and overbooking decisions.
MBI is not only welcomed by both domestic and international high-end hotels through real data analysis, but also gained a large number of media attention and reporting.
At the 19th edition of Global Lodging Forum, the representatives from Accor, Best Western, B&B Hotels, Louvre Hotels Group, Mövenpick and MKG Group talked at the round table
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