DocumentCode
2403604
Title
Business intelligence: Identify valued customer from the data warehouse in financial institutions
Author
Mahesh, Anusha R. ; Sivanandam, S.N.
Author_Institution
Anna Univ. of Technol., Coimbatore, India
fYear
2010
fDate
28-29 Dec. 2010
Firstpage
1
Lastpage
5
Abstract
Business intelligence may be defined as a set of mathematical models and analysis methodologies that systematically exploit the available data to retrieve information and knowledge useful in supporting complex decision-making processes. A business intelligence environment offers decision makers information and knowledge derived from data processing, through the application of mathematical models and algorithms. In some instances, these may merely consist of the calculation of totals and percentages, while more fully developed analyses make use of advanced models for optimization, inductive learning and prediction.
Keywords
competitive intelligence; data warehouses; decision making; financial data processing; learning (artificial intelligence); business intelligence; complex decision-making processes; data processing; data warehouse; financial institutions; inductive learning; inductive prediction; information retrieval; mathematical analysis; valued customer identification; Business; Data mining; Data warehouses; Mathematical model; Numerical models; Predictive models; Production; Business Intelligence; Data Mining; Valued customer management;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Computing Research (ICCIC), 2010 IEEE International Conference on
Conference_Location
Coimbatore
Print_ISBN
978-1-4244-5965-0
Electronic_ISBN
978-1-4244-5967-4
Type
conf
DOI
10.1109/ICCIC.2010.5705904
Filename
5705904
Link To Document