Big Data Business Intelligence in Bank Risk Analysis

Nayem Rahman and Shane Iverson
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Nayem Rahman: Portland State University, Portland, OR, USA
Shane Iverson: Nike, Inc., Beaverton, OR, USA

International Journal of Business Intelligence Research (IJBIR), 2015, vol. 6, issue 2, 55-77

Abstract: This paper provides an overview of big data technologies and best practices from the standpoint of business intelligence (BI) applications in the banking industry. The authors discussed current challenges in banking industry that could be addressed by using big data technologies. Based on their research, they provided a list of big data tools and technologies in terms of an ecosystem that are suitable for real-time data processing and capable in bank fraud detection and prevention, and other bank risk analysis. They highlighted how business intelligence could be leveraged with the help of emerging big data technologies.

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jbir00:v:6:y:2015:i:2:p:55-77

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