Bridging the gap between decision-making and emerging big data sources

• Verfasst von: Horita, Flávio E. A. [VerfasserIn]
• Verfasst von: Albuquerque, João Porto de [VerfasserIn]
• Titel: Bridging the gap between decision-making and emerging big data sources
• Titelzusatz: an application of a model-based framework to disaster management in Brazil
• Verf.angabe: Flávio E.A. Horita, João Porto de Albuquerque, Victor Marchezini, Eduardo M. Mendiondo
• E-Jahr: 2017
• Jahr: 9 March 2017
• Umfang: 11 S.
• Fussnoten: Gesehen am 04.09.2018
• Titel Quelle: Enthalten in: Decision support systems
• Ort Quelle: Amsterdam [u.a.] : Elsevier, 1985
• Jahr Quelle: 2017
• Band/Heft Quelle: 97(2017), Seite 12-22
• ISSN Quelle: 1873-5797
• DOI: doi:10.1016/j.dss.2017.03.001
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Big data sources
• Sach-SW: Business process model and notation
• Sach-SW: Case study
• Sach-SW: Decision model and notation
• Sach-SW: Design science research
• Sach-SW: Disaster management
• K10plus-PPN: 1580657222

Abstract

With the emergence of big data and new data sources, a challenge posed to today's organizations consists of identifying how to align their decision-making and organizational processes to data that could help them make better-informed decisions. This paper presents a study in the context of disaster management in Brazil that applies oDMN+, a framework that connects decision-making with data sources through an extended modeling notation and a modeling process. The study results revealed that the framework is an effective approach for improving the understanding of how to leverage big data in the organization's decision-making.