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 :
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