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  1. Business Intelligence in Risk Management: Some Recent Progresses.Shu-Heng Chen, David L. Olson & Desheng Dash Wu - 2014 - Information Sciences 256:1-7.
    Risk management has become a vital topic both in academia and practice during the past several decades. Most business intelligence tools have been used to enhance risk management, and the risk management tools have benefited from business intelligence approaches. This introductory article provides a review of the state-of-the-art research in business intelligence in risk management, and of the work that has been actepted for publication in this issue.
     
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  • Computational simulation and risk analysis: An introduction of state of the art research.Desheng Dash wu & David L. Olson - 2013 - Mathematical and Computer Modeling 58:1581-1587.
    In recent years, risk management and analysis has attracted a great deal of attention from both researchers and practitioners. Enterprise risk management has become an important topic in today’s more complex, interrelated global business environment, replete with threats from natural, political, economic, and technical sources. This survey and introductory article addresses computerized tools used for risk management and analysis. Risks are studied from perspectives of different disciplines, with a discussion of how various methods and tools are used to optimize risk (...)
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  • The implication of business intelligence in risk management: a case study in agricultural insurance.Mehran Amini, Sarah Salimi, Farid Yosefinejad, Mohammad Jafar Tarokh & Sayyed M. Haybatollahi - forthcoming - Journal of Data, Information and Management.
    The increasing data scales in today's business sectors coupled with the necessity of risk management raise the importance of business intelligence tools as an integrated solution for the insurance industry. These tools have mostly been used to achieve effective risk management. Although methods of risk management in the insurance industry have been proposed many years ago, the research effort has primarily been focused on predictive analyses. This study aimed to investigate the role of business intelligence as a solution to illustrate (...)
     
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  • A Survey of Business Intelligence Solutions in Banking Industry and Big Data Applications.Elaheh Radmehr & Mohammad Bazmara - 2017 - International Journal of Mechatronics, Electrical and Computer Technology 7 (23):3280-3298.
    Nowadays, the economic and social nature of contemporary business organizations chiefly banks binds them to face with the sheer volume of data and information and the key to commercial success in this area is the proper use of data for making better, faster and flawless decisions. To achieve this goal organizations requires strong and effective tools to enable them in automating task analysis, decision-making, strategy formulation and risk prediction to prevent bankruptcy and fraud .Business Intelligence is a set of skills, (...)
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