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|Title:||Dataset for Qualitative investigation of data-driven decision making within a control room for disaster monitoring and early-warning in Brazil.|
|Subject:||Computer and Information Science;Earth and Environmental Sciences|
|Description:||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.|
|Authors:||Flavio Eduardo Aoki Horita|
|Publisher:||Flavio Eduardo Aoki Horita|
|Appears in Collections:||Repositório de Dados de Pesquisa da Universidade Federal do ABC|
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