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Table · dataset · 2018

Dataset for Qualitative investigation of data-driven decision making within a control room for disaster monitoring and early-warning in Brazil

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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.

Description

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.<br><br>Due to the ethically sensitive nature of the research and the level of ethical approval which is in place, researchers and institutions who want access the data could make a request directly to the authors via e-mail. J.Porto@warwick.ac.uk or feahorita@gmail.com

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Business systems in context 72%
Provenance · 1 source records, 17 field assertions
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