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Data-driven indicator classification and selection for dynamic dashboards: The case of Spanish universities 8 junio 2018

Publicado por faraon en Actividades, CatedraTD_UA, Gobierno de las TI , trackback

Data-driven indicator classification and selection for dynamic dashboards: The case of Spanish universities
Rafael Molina-Carmona, Faraón Llorens-Largo, Antonio Fernández-Martínez
EUNIS 2018 Conference
Coming of age in a digital world
www.eunis.org/eunis2018

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 steps: the classification of the indicators in three categories (emergent, hot and consolidated indicators) and the selection of the suitable KPIs based on the organization strategies. To illustrate this method, we present a practical case of indicator classification and selection for Spanish universities based on the extensive UNIVERSITIC report.

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