Analysis of the Effects and Factors of Implementing Cloud Business Intelligence in Banking Systems

Abstract

Nowadays, the new big challenge in banking systems is dealing with large amount of sensitive data. Cloud Business Intelligence is a new technology to handle big data storing, sharing, and computing. Business Intelligence is a management concept which discuses about data processing, and extracting business information from raw business data. It helps to improve business management and make optimized business decisions that leads to improve the performance and financial benefits of the organization. The other important technology for big data computing is the concept of cloud computing, a notion in information technology area. Cloud computing is a model which provides a general access to the shared resources and services, such as infrastructure, platform, and software. Cloud Business Intelligence refers to the combination of the mentioned technologies. This notion provides Business Intelligence as a service over a cloud environment. The goal of this research is exploring effects and factors of using cloud business intelligence in banking systems. This study addresses the benefits, problems, and challenges of using cloud business intelligence in the banking systems, and examines the impact of using this technology on the reliability and credibility of banking systems. The purpose of this study is helping banking systems to move from using traditional models towards applying cloud ones, increase reliability, availability, and transactions speed, reduce the cost of banks, and in other words, moving towards modern banking systems. The results help us to select the best type of cloud business intelligence for a specific organization based on the characteristics of that.