Revenue Management’s most cited definitions is probably “to sell the right accommodation to theright customer, at the right time and the right price, with optimal satisfaction for customers and hoteliers”.Smart Revenue Management (SRM) is a project, which aims the development of smart automatic techniquesfor an efficient optimization of occupancy and rates of hotel accommodations, commonly referred to, asrevenue management. One of the objectives of this project is to demonstrate that the collection of Big Data,followed by an appropriate assembly of functionalities, will make possible to generate a Data Warehousenecessary to produce high quality business intelligence and analytics. This will be achieved through thecollection of data extracted from a variety of sources, including from the web. This paper proposes a three stageframework to develop the Big Data Warehouse for the SRM. Namely, the compilation of all availableinformation, in the present case, it was focus only the extraction of information from the web by a web crawler– raw data. The storing of that raw data in a primary NoSQL database, and from that data the conception of aset of functionalities, rules, principles and semantics to select, combine and store in a secondary relationaldatabase the meaningful information for the Revenue Management (Big Data Warehouse). The last stage willbe the principal focus of the paper. In this context, clues will also be giving how to compile information forBusiness Intelligence. All these functionalities contribute to a holistic framework that, in the future, will makeit possible to anticipate customers and competitor’s behavior, fundamental elements to fulfill the RevenueManagement
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