Big Data Warehouse Framework for Smart Revenue Management
نویسندگان
چکیده
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. Key-Words: Revenue Management, Data Warehouse, Big Data, Business Intelligence, Semantic Web, Tourism, Hospitality, Marketing.
منابع مشابه
A Conceptual Framework for Smart Hospital towards Industry 4.0
Background: The fourth industrial revolution consists of combining network devices with cloud computing methods and analyzing large data and artificial intelligence, which makes it possible to call such an infrastructure smart. In a Smart Hospital, all things and devices are designed to be connected and integrated, thus achieving better patient care, increasing efficiency and reducing time wast...
متن کاملSmart Grid of Big Data Information Management on Secure Cloud Computing Framework
Smart grid is a modern electrical grid technology that improves the efficiency and reliability. The main challenges of smart grids are how to manage different types of front-end intelligent devices such as smart meters and how to process a huge amount of data received from these devices. Cloud computing, a technology that provides computational resources on demands to address these challenges. ...
متن کاملAutonomic Resilient Internet-of-Things(IoT)Management
In Resilient IoT, the revenue of service provider is resilient to uncertain usage-contexts(e.g. emotion, environmental contexts) of Smart-device users. Hence, Autonomic Resilient IoT Management problem is decomposed into two subproblems, namely m-connectivity and k-dominance, such that m-alternations on revenue making process is resilient to users common interests, which might be depicted throu...
متن کاملTechnology Selection for Big Data and Analytical Applications
The term Big Data has become pervasive in recent years, as smart phones, televisions, washing machines, refrigerators, smart meters, diverse sensors, eyeglasses, and even clothes connect to the Internet. However, their generated data is essentially worthless without appropriate data analytics that utilizes information retrieval, statistics, as well as various other techniques. As Big Data is co...
متن کاملIntelligent Cloud Based Decision Support Framework for Smart Grid
ــــــــ a smart grid is an electricity grid that uses digital information and communication technology, it allows grid operators to monitor, analyze, control and manage a network so that more informed and efficient decisions can be adopted. A smart grid system typically includes efficient database management which allow data storage, transaction processing and querying. This paper introduces a...
متن کامل