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Title

Business Intelligence for Risk Management: A Review

Authors Names :   Abdelaziz Darwiesh   1 *     A.H. El-Baz   2     A.M.K. Tarabia   3     Mohamed Elhoseny   4  

1  Affiliation :  Department of Mathematics, Faculty of Science, Damietta University, New Damietta, Egypt

    Email :  abdelaziz.darwiesh@gmail.com


2  Affiliation :  Department of Computer Science, Faculty of Computers and Artificial Intelligence, Damietta University, New Damietta, Egypt

    Email :  elbaz@du.edu.eg


3  Affiliation :   Department of Mathematics, Faculty of Science, Damietta University, New Damietta, Egypt

    Email :   a_tarabia@yahoo.com


4  Affiliation :  University of Sharjah, Sharjah, UAE

    Email :  melhoseny@ieee.org



Doi   :   https://doi.org/10.54216/AJBOR.060202

Received: February 20, 2022 Accepted: April 04, 2022

Abstract :

This paper provides a quick review about business intelligence approaches and techniques in risk management. The important research articles from 2007 to 2021 are involved in this review. We found a little contribution from researchers in this research direction, however the vital role of business intelligence in risk management. Moreover, we provide a novel business approach for risk management.  This approach includes deploying the trendiest techniques in this era which are social media and big data analysis. Social media represents the source of identifying risks through the discussions of social media users as well as big data analysis techniques which represent the control tool for potential risks. The new approach will help firms and organizations in many sectors to manage risks efficiently and make the best decisions. Further, we provide the challenges of the new framework and the further research points. 

Keywords :

Risk management; Business intelligence; Social media big data analysis.

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Cite this Article as :
Abdelaziz Darwiesh , A.H. El-Baz , A.M.K. Tarabia , Mohamed Elhoseny, Business Intelligence for Risk Management: A Review, American Journal of Business and Operations Research, Vol. 6 , No. 2 , (2022) : 16-27 (Doi   :  https://doi.org/10.54216/AJBOR.060202)