Conceptualizing and Specifying Key Performance Indicators in Business Strategy Models

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Campo DCValorIdioma
dc.contributorLucentiaes_ES
dc.contributor.authorMaté, Alejandro-
dc.contributor.authorTrujillo, Juan-
dc.contributor.authorMylopoulos, John-
dc.contributor.otherUniversidad de Alicante. Departamento de Lenguajes y Sistemas Informáticoses_ES
dc.date.accessioned2024-04-15T06:14:43Z-
dc.date.available2024-04-15T06:14:43Z-
dc.date.issued2012-
dc.identifier.citationMaté, A., Trujillo, J., Mylopoulos, J. (2012). Conceptualizing and Specifying Key Performance Indicators in Business Strategy Models. In: Atzeni, P., Cheung, D., Ram, S. (eds) Conceptual Modeling. ER 2012. Lecture Notes in Computer Science, vol 7532. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34002-4_22es_ES
dc.identifier.isbn978-3-642-34001-7-
dc.identifier.isbn978-3-642-34002-4-
dc.identifier.issn1611-3349-
dc.identifier.urihttp://hdl.handle.net/10045/142120-
dc.description.abstractKey Performance Indicators (KPI) measure the performance of an organization relative to its objectives. To monitor organizational performance relative to KPIs, such KPIs need to be manually implemented in the form of data warehouse queries, to be used in dashboards or scorecards. Moreover, dashboards include little if any information about business strategy and offer a scattered view of KPIs and what do they mean relative to business concerns. In this paper, we propose an integrated view of strategic business models and conceptual data warehouse models. The main benefit of our proposal is that it links strategic business models to the data through which objectives can be monitored and assessed. In our proposal, KPIs are defined in Structured English and are implemented in a semi-automatic way, allowing for quick modifications. This enables real-time monitoring and what-if analysis, thereby helping analysts compare expectations with reported results.es_ES
dc.description.sponsorshipThis work has been partially supported by the MESOLAP (TIN2010-14860) and SERENIDAD (PEII-11-0327-7035) projects from the Spanish Ministry of Education and the Junta de Comunidades de Castilla La Mancha respectively, and by the European Research Council (ERC) through advanced grant 267856, titled Lucretius: Foundations for Software Evolution (04/201103/2016) http://www.lucretius.eu. Alejandro Mate is funded by the Generalitat Valenciana (ACIF/2010/298).es_ES
dc.languageenges_ES
dc.publisherSpringer, Berlin, Heidelberges_ES
dc.rights© 2012 Springer-Verlag Berlin Heidelberges_ES
dc.subjectBusiness Intelligencees_ES
dc.subjectConceptual Data Warehouse modelses_ES
dc.subjectKPIes_ES
dc.subjectSBVRes_ES
dc.subjectOLAPes_ES
dc.titleConceptualizing and Specifying Key Performance Indicators in Business Strategy Modelses_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.peerreviewedsies_ES
dc.identifier.doi10.1007/978-3-642-34002-4_22-
dc.relation.publisherversionhttps://doi.org/10.1007/978-3-642-34002-4_22es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/MICINN//TIN2010-14860es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/FP7/267856es_ES
Aparece en las colecciones:INV - LUCENTIA - Comunicaciones a Congresos, Conferencias, etc.
Investigaciones financiadas por la UE

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