Conceptualizing and Specifying Key Performance Indicators in Business Strategy Models
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Título: | Conceptualizing and Specifying Key Performance Indicators in Business Strategy Models |
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Autor/es: | Maté, Alejandro | Trujillo, Juan | Mylopoulos, John |
Grupo/s de investigación o GITE: | Lucentia |
Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Lenguajes y Sistemas Informáticos |
Palabras clave: | Business Intelligence | Conceptual Data Warehouse models | KPI | SBVR | OLAP |
Fecha de publicación: | 2012 |
Editor: | Springer, Berlin, Heidelberg |
Cita bibliográfica: | Maté, 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_22 |
Resumen: | Key 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. |
Patrocinador/es: | This 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). |
URI: | http://hdl.handle.net/10045/142120 |
ISBN: | 978-3-642-34001-7 | 978-3-642-34002-4 |
ISSN: | 1611-3349 |
DOI: | 10.1007/978-3-642-34002-4_22 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/conferenceObject |
Derechos: | © 2012 Springer-Verlag Berlin Heidelberg |
Revisión científica: | si |
Versión del editor: | https://doi.org/10.1007/978-3-642-34002-4_22 |
Aparece en las colecciones: | INV - LUCENTIA - Comunicaciones a Congresos, Conferencias, etc. Investigaciones financiadas por la UE |
Archivos en este ítem:
Archivo | Descripción | Tamaño | Formato | |
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Mate_ER12-preprint.pdf | Preprint (acceso abierto) | 1,01 MB | Adobe PDF | Abrir Vista previa |
Mate_ER12-final.pdf | Versión final (acceso restringido) | 667,7 kB | Adobe PDF | Abrir Solicitar una copia |
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