International Journal of Computer Networks and Applications

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A Framework for Effective Big Data Analytics for Decision Support Systems


Affiliations
1 Department of Information Systems, King Abdulaziz University, Jeddah, Saudi Arabia
 

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.

Keywords

Big Data, Big Data Analytics, Decision Support Systems, Information Systems.
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  • A Framework for Effective Big Data Analytics for Decision Support Systems

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Authors

Osama Islam
Department of Information Systems, King Abdulaziz University, Jeddah, Saudi Arabia
Ahmed Alfakeeh
Department of Information Systems, King Abdulaziz University, Jeddah, Saudi Arabia
Farrukh Nadeem
Department of Information Systems, King Abdulaziz University, Jeddah, 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.

Keywords


Big Data, Big Data Analytics, Decision Support Systems, Information Systems.

References