The Full Knowledge of Big Data in the Integration of Inter-Organizational Information: An Approach Focused on Decision Making

Thiago Poleto, Victor Diogho Heuer de Carvalho and Ana Paula Cabral Seixas Costa
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Thiago Poleto: Universidade Federal de Pernambuco, Recife, Brazil
Victor Diogho Heuer de Carvalho: Universidade Federal de Alagoas, Delmiro Gouveia, Brazil
Ana Paula Cabral Seixas Costa: Universidade Federal de Pernambuco, Recife, Brazil

International Journal of Decision Support System Technology (IJDSST), 2017, vol. 9, issue 1, 16-31

Abstract: Big Data is a radical shift or an incremental change for the existing digital infrastructures, that include the toolset used to aid the decision making process such as information systems, data repositories, formal modeling, and analysis of decisions. This work aims to provide a theoretical approach about the elements necessary to apply the big data concept in the decision making process. It identifying key components of the big data to define an integrated model of decision making using data mining, business intelligence, decision support systems, and organizational learning all working together to provide decision support with a reliable visualization of the decision-related opportunities. The concepts of data integration and semantic also was explored in order to demonstrate that, once mined, data must be integrated, ensuring conceptual connections and bequeathing meaning to use them appropriately for problem solving in decision.

Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jdsst0:v:9:y:2017:i:1:p:16-31

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