Predictive Tourism Models

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The emergence of the digital phenomenon has already altered the foundations of tourism around the world and a new uproar is around the corner: Big Data, the analytics of massive data. The processing of large quantities of data allows the establishment of predictive models originated by tracking the travel activity through human sensors already implemented/implanted, such as smartphones, almost biometric extensions of people. In the year 2020 we foresee the interconnection of 212.000 million sensors! , correlating without any cables, telemetrically. This fantastic universe of intertwined data will then provide information that to date is unavailable as to how many, when, how, where, towards where and whom are the travellers on the move.

The tourism industry must be prepared to affront this big challenge of the circulation and analysis of data. Pioneers of the technological development, airline companies have initiated this task several years ago when they created a management system, yield management, capable of optimizing air transport based on demand, seasonality, connection hubs, and anticipating booking. Big hotel chains have copied this model, as have other tourism corporations such as main reservation companies, online agencies and travel meta search engines, that have been introducing variables in their electronic business modules capable of determining what date is more convenient for the user to take a specific flight or book a particular room. Continue reading

Internet of Hotel Things

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Google has acquired Nest, a company that specializes in smart thermostats, for $3,200 million dollars paid in cash. This movement confirms one of the clearest tendencies observed in the digital panorama: the so-called Internet of Things, a world that’s hyper-connected through mobile sensors, which will take flight in the tourism industry this year, even though its definitive results will take a while to be of common use by the consumers. Continue reading