A Survey of Business Intelligence Solutions in Banking Industry and Big Data Applications

Download Edit this record How to cite View on PhilPapers
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, technologies and application systems used to collect, store, analyze and create effective access to the task to help organizations better understand the business context and make accurate decision timely and respond quickly toward inflation, rate fluctuations and the market price. In this paper we review recent literature in the search for trends in business intelligence applications for the banking industry and its challenges and finally some articles that comprise this special issue are introduced and characterized in terms of business intelligence research framework.
(categorize this paper)
PhilPapers/Archive ID
Upload history
Archival date: 2018-05-27
View other versions
Added to PP index

Total views
158 ( #27,769 of 53,607 )

Recent downloads (6 months)
29 ( #23,061 of 53,607 )

How can I increase my downloads?

Downloads since first upload
This graph includes both downloads from PhilArchive and clicks on external links on PhilPapers.