What is it about?
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.
Featured Image
Why is it important?
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.
Perspectives
We have tried to demonstrate how concepts from different areas can be interconnected to help and improve the way decisions are made within organizations.
Prof. Victor Diogho Heuer de Carvalho
Universidade Federal de Alagoas
Read the Original
This page is a summary of: The Full Knowledge of Big Data in the Integration of Inter-Organizational Information, International Journal of Decision Support System Technology, January 2017, IGI Global,
DOI: 10.4018/ijdsst.2017010102.
You can read the full text:
Contributors
The following have contributed to this page
