Propuesta de arquitectura para un módulo de inteligencia de negocios basado en minería de datos

The constant changes in the preferences of national and international travelers influences the performance of the hotel industry thus creating the need for hotel managers to continue in the search of methods that help to predict the preferences and necessities of the travelers with the objective to obtain improvements in their planning and the development of strategic services. As a solution to this problem, the present work proposes an architecture for the development and integration of a Business Intelligence module in Softcalli hotel system, so that by applying the KDD process, a Data Mining model will be generated to identify groups of clients in order to predict the most suitable services according to the profile of a new customer.