Data-driven indicator classification and selection for dynamic dashboards: The case of Spanish universities

Por favor, use este identificador para citar o enlazar este ítem:
Registro completo de metadatos
Registro completo de metadatos
Campo DCValorIdioma
dc.contributor.authorMolina-Carmona, Rafael-
dc.contributor.authorLlorens Largo, Faraón-
dc.contributor.authorFernández Martínez, Antonio-
dc.contributor.otherCátedra Santander-UA de Transformación Digitales_ES
dc.descriptionPaper submitted to EUNIS (European University Information Systems) 2018, Paris, France, 5-8 June 2018es_ES
dc.description.abstractIn the context of business, dashboards are visual tools that display the most important information about the organization needed to help the top management to make decisions. Since it is important to just provide the relevant and objective-oriented information, the number of indicators included in the dashboard must be kept at minimum. Therefore, the crucial aspect when designing dashboards is the selection of the suitable Key Performance Indicators. To help to carry out this task, we propose a classification and selection methodology, based on the values of the own indicators. This methodology is performed in two main steps: the classification of the indicators in three categories (emergent, hot and consolidated indicators) and the selection of the suitable set of KPIs based on the organization strategies. To illustrate the application of this methodology, we also present a practical case of indicator classification and selection for Spanish universities based on the extensive UNIVERSITIC report.es_ES
dc.rightsLicencia Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0es_ES
dc.subjectKPI classificationes_ES
dc.subjectKPI selectiones_ES
dc.subjectDashboard designes_ES
dc.subjectData-driven designes_ES
dc.subjectSpanish universities KPIes_ES
dc.titleData-driven indicator classification and selection for dynamic dashboards: The case of Spanish universitieses_ES
Aparece en las colecciones:Cátedra Santander-UA de Transformación Digital - Documentos de Trabajo

Archivos en este ítem:
Archivos en este ítem:
Archivo Descripción TamañoFormato 
ThumbnailEUNIS_2018_Document_44.pdf363,73 kBAdobe PDFAbrir Vista previa
ThumbnailEUNISdefinitivo.pdf635,63 kBAdobe PDFAbrir Vista previa

Este ítem está licenciado bajo Licencia Creative Commons Creative Commons