Banking Intelligence Accelerator – Decision Support
Adrian Munteanu () and
Ovidiu R?du?? ()
Additional contact information
Adrian Munteanu: Economic Informatics Department, Academy of Economic Studies, Bucharest, Romania
Ovidiu R?du??: Economic Informatics Department, Academy of Economic Studies, Bucharest, Romania
Database Systems Journal, 2012, vol. 3, issue 2, 13-22
Along with the development of information technology, Business Intelligence plays an important role in banking operation process. Business Intelligence in banking sector is a method of storing and presenting key bank business data so that any key user can quickly and easily ask questions of accurate and timely data. The growing competition and increased speed of business changes has dramatically shown the need for business intelligence in banking sector. In this paper, we analyze the business intelligence components, how they fit the banking sector and how they can be secured to match the framework of the whole banking information system. Having the decision process analyzed in the banking field, we propose an architectural model to sustain the decision and integrate easily in the complex banking environment.
Keywords: Business Intelligence; Decision; Data Warehouse; Architecture; Banking Accelerator (search for similar items in EconPapers)
References: View complete reference list from CitEc
Citations Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:aes:dbjour:v:3:y:2012:i:2:p:13-22
Access Statistics for this article
Database Systems Journal is currently edited by Ion Lungu
More articles in Database Systems Journal from Academy of Economic Studies - Bucharest, Romania Contact information at EDIRC.
Series data maintained by Adela Bara ().