Data analytics makes new working methods for banks
Joint Authors
Khulayfawi, Muniah
Sidqawi, Thurayya
Source
Journal of Quantitative and Qualitative Research in Economic and Administrative Sciences
Issue
Vol. 1, Issue 2 (31 Dec. 2019), pp.1-22, 22 p.
Publisher
Publication Date
2019-12-31
Country of Publication
Algeria
No. of Pages
22
Main Subjects
Financial and Accounting Sciences
Topics
Abstract EN
The new analytical power is seen as an opportunity to invent and explore new methods that are able to detect correlations between the quantities of available data.
Analytics methods are used in various fields such as banking, marketing, retail, healthcare, and more.
The new analytics methods use the application of different algorithms to extract models, recognize patterns, and determine future possible values.
Banks and financial institutions are actively seeking ways to make the most of big data which, including the application of analytical techniques to existing methods.
The research focuses on evaluating the effect of analytics on the banking sector.
The goal is to provide a thorough understanding of the analytical capacity, the design and development process of which is a key component that is changing the way financial organizations operate.
American Psychological Association (APA)
Sidqawi, Thurayya& Khulayfawi, Muniah. 2019. Data analytics makes new working methods for banks. Journal of Quantitative and Qualitative Research in Economic and Administrative Sciences،Vol. 1, no. 2, pp.1-22.
https://search.emarefa.net/detail/BIM-1434613
Modern Language Association (MLA)
Sidqawi, Thurayya& Khulayfawi, Muniah. Data analytics makes new working methods for banks. Journal of Quantitative and Qualitative Research in Economic and Administrative Sciences Vol. 1, no. 2 (2019), pp.1-22.
https://search.emarefa.net/detail/BIM-1434613
American Medical Association (AMA)
Sidqawi, Thurayya& Khulayfawi, Muniah. Data analytics makes new working methods for banks. Journal of Quantitative and Qualitative Research in Economic and Administrative Sciences. 2019. Vol. 1, no. 2, pp.1-22.
https://search.emarefa.net/detail/BIM-1434613
Data Type
Journal Articles
Language
English
Notes
-
Record ID
BIM-1434613