Data-driven indicator classification and selection for dynamic dashboards: The case of Spanish universities
Empreu sempre aquest identificador per citar o enllaçar aquest ítem
http://hdl.handle.net/10045/86991
Títol: | Data-driven indicator classification and selection for dynamic dashboards: The case of Spanish universities |
---|---|
Autors: | Molina-Carmona, Rafael | Llorens Largo, Faraón | Fernández Martínez, Antonio |
Centre, Departament o Servei: | Cátedra Santander-UA de Transformación Digital |
Paraules clau: | KPI classification | KPI selection | Dashboard design | Data-driven design | Spanish universities KPI |
Data de publicació: | de juny-2018 |
Resum: | In 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. |
Descripció: | Paper submitted to EUNIS (European University Information Systems) 2018, Paris, France, 5-8 June 2018 |
URI: | http://hdl.handle.net/10045/86991 |
Idioma: | eng |
Tipus: | info:eu-repo/semantics/conferenceObject |
Drets: | Licencia Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0 |
Revisió científica: | si |
Apareix a la col·lecció: | Cátedra Santander-UA de Transformación Digital - Documentos de Trabajo |
Arxius per aquest ítem:
Arxiu | Descripció | Tamany | Format | |
---|---|---|---|---|
EUNIS_2018_Document_44.pdf | 363,73 kB | Adobe PDF | Obrir Vista prèvia | |
EUNISdefinitivo.pdf | 635,63 kB | Adobe PDF | Obrir Vista prèvia | |
Aquest ítem està subjecte a una llicència de Creative Commons Llicència Creative Commons