AirRM system, implementation of Business Rules under cluster analysis

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dc.contributor Rachinger, Heiko Jürgen
dc.contributor.author Fortuny Borysiewicz, Robert
dc.date 2021
dc.date.accessioned 2022-04-08T09:30:18Z
dc.date.available 2022-04-08T09:30:18Z
dc.date.issued 2021-10-07
dc.identifier.uri http://hdl.handle.net/11201/158659
dc.description.abstract [eng] Business Rules is one out of many tools AirRM system provides to deal with revenue management strategies, however, it is a recommended tool to set a solid pricing strategy by using historical data. In this paper I will discuss, the first step in using AirRM system in an airline I currently work in as a revenue manager. The main topic is the implementation of AirRM’s tool Business Rule, its value and the analysis of how many rules are necessary to optimize revenue strategy in a leg, using cluster analysis. The results, through statistical evidence, show an efficient grouping of flights, according to its booking behaviour and total revenue; and through Business Rule assignment, a useful booking forecasting method for our department. ca
dc.format application/pdf
dc.language.iso eng ca
dc.publisher Universitat de les Illes Balears
dc.rights all rights reserved
dc.rights info:eu-repo/semantics/openAccess
dc.subject 65 - Gestió i organització. Administració i direcció d'empreses. Publicitat. Relacions públiques. Mitjans de comunicació de masses ca
dc.subject.other AirRM ca
dc.subject.other revenue management ca
dc.subject.other airline ca
dc.subject.other clustering ca
dc.subject.other price strategy ca
dc.title AirRM system, implementation of Business Rules under cluster analysis ca
dc.type info:eu-repo/semantics/masterThesis ca
dc.type info:eu-repo/semantics/publishedVersion
dc.date.updated 2022-02-01T07:21:12Z


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