Influência da rota dos vinhos no enoturismo do Algarve

This article aims to approach the Wine Route in Algarve, while fueling the Enotourism in the Region. In methodological therms, secondary sources were consulted, including literature considered relevant, as well the analysis of the case Tenerife, as a destination where Enotourism was successfully implemented. The primary sources used for the case study were based on an analysis of interviews to the producers associates to the Algarve Wine Route (AWR) and an interview with the head of AWR, which led to the view and vision of the leaders in the implementation of this project. In order to give greater depth to the theme addressed the issue of external promotion of wine tourism, verifying which markets to consider in attracting tourists for using such statistics and information listed on the Portuguese Tourism Website. The main results point to the need for continuity the consolidation and reinforcing the AWR, increasing the collaboration between partners and among economic actors. In the opinion of the respondents, the external markets are the major destination for both the flow of wine production, as for attracting new customers and as such should be treated as strategic markets.

Big data warehouse framework for smart revenue management

Revenue Management’s most cited definitions is probably “to sell the right accommodation to the right 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 techniques for an efficient optimization of occupancy and rates of hotel accommodations, commonly referred to, as revenue 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 Warehouse necessary to produce high quality business intelligence and analytics. This will be achieved through the collection of data extracted from a variety of sources, including from the web. This paper proposes a three stage framework to develop the Big Data Warehouse for the SRM. Namely, the compilation of all available information, 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 a set of functionalities, rules, principles and semantics to select, combine and store in a secondary relational database the meaningful information for the Revenue Management (Big Data Warehouse). The last stage will be the principal focus of the paper. In this context, clues will also be giving how to compile information for Business Intelligence. All these functionalities contribute to a holistic framework that, in the future, will make it possible to anticipate customers and competitor’s behavior, fundamental elements to fulfill the Revenue Management