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Banking Automation with Sustainable Hedging for Information Risks: BASHIR Framework for Private Clouds

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Decisions regarding migrating business intelligence applications to private clouds are more complex when it comes to banking industry because of data sensitivities. Business, technological, strategic and service and risk factors are relevant for decisions to migrate business intelligence to private clouds. The use of clouds in businesses is undeniable, thus comparative advantage of each of these factors is important to assess. As banking data is of critical nature and BI application is data centered application, so this can magnify the importance of risks. Combining strengths-weaknesses-opportunities-threats with multi-criteria decision making framework can provides an insight into understanding the benefit-cost-opportunity-value-risk (BCOVR) dimensions of private clouds. This article has provided an assessment for the selection of the optimal business intelligence architects from amongst moving data analysis functionality, moving online analytical processing front-end, moving selected extract-transform-load procedures, moving operational business intelligence, on-premises application deployment and idealistic business intelligence private clouds. Such a framework with prime focus on risks has been named as ‘business automation with sustainable hedging for information risks’ (BASHIR) framework. The results have shown that based on the risk dimensions amongst BCOVR, “idealistic business intelligence private cloud architect” is the most riskier option and “moving online analytical processing front-end architect” is the least riskier option. Moreover out of ten sub-criteria within the risk dimension, risk of privacy gets the heaviest weight followed by risks of access, recovery and permanence.
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Keywords: Business Intelligence Architecture; Cloud Computing; IT Risk Management; Multi Criteria Decision Making

Document Type: Research Article

Affiliations: School of Business, Universiti Teknologi Brunei, Brunei Darussalam

Publication date: November 1, 2017

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  • ADVANCED SCIENCE LETTERS is an international peer-reviewed journal with a very wide-ranging coverage, consolidates research activities in all areas of (1) Physical Sciences, (2) Biological Sciences, (3) Mathematical Sciences, (4) Engineering, (5) Computer and Information Sciences, and (6) Geosciences to publish original short communications, full research papers and timely brief (mini) reviews with authors photo and biography encompassing the basic and applied research and current developments in educational aspects of these scientific areas.
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