International Journal of Computer Networks and Applications (IJCNA)

Published By EverScience Publications

ISSN : 2395-0455

International Journal of Computer Networks and Applications (IJCNA)

International Journal of Computer Networks and Applications (IJCNA)

Published By EverScience Publications

ISSN : 2395-0455

A Framework for Effective Big data Analytics for Decision Support Systems

Author NameAuthor Details

Osama Islam, Naif Aljohani, Farrukh Nadeem

Osama Islam[1]

Naif Aljohani[2]

Farrukh Nadeem[3]

[1]Department of Information Systems, Faculty of Computing and Information Technology, King Abdulaziz University, Saudi Arabia

[2]Department of Information Systems, Faculty of Computing and Information Technology, King Abdulaziz University, Saudi Arabia

[3]Department of Information Systems, Faculty of Computing and Information Technology, King Abdulaziz University, Saudi Arabia

Abstract

Supporting decision makers requires a good understanding of the various elements that affect the outcomes of a decision. Decision Support Systems have provided decision makers with such insights throughout its history of usage with varying degrees of success. The availability of data sources was a main limitation to what decision support systems can do. Therefore, with the advent of improved analytical methods for Big data sources new opportunities have emerged that can possibly enhance how decision makers analyze their problem and arrive at decisions using information systems. This paper analyzed current related works on both Big data and decision support systems to identify clear elements and factors relevant to the subject and identifying possible ways to enhance their joint usage. Finally, the paper proposes a framework that integrates the key components needed to ensure the quality and relevance of data being analyzed by decision support systems while providing the benefits of insights generated over time from past decisions and positive recommendations.

Index Terms

Big data

Big data Analytics

Decision Support Systems

Information Systems

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