DocumentCode :
2508883
Title :
A framework of patterns for the banking sector
Author :
Kardasis, P. ; Prekas, N. ; Loucopoulos, P.
Author_Institution :
Dept. of Comput., Univ. of Manchester Inst. of Sci. & Technol., UK
fYear :
2000
fDate :
2000
Firstpage :
818
Lastpage :
822
Abstract :
Financial institutions have recently realised that in order to meet the challenges of the latest developments in the area, they have to invest in technologies which will help them to understand their customers better and to tailor their products and services according to customer needs and preferences. The solution to the problem lies within the good management of knowledge about customers, products, and market trends, and the continuous enrichment of this knowledge with findings from analysis of their operational data. The above tasks can benefit from the use of knowledge patterns which have been derived from similar settings, and have proved useful in the past. This paper introduces the concept of “patterns”, and presents a patterns framework for the banking sector, based on a large project that involved three European financial institutions
Keywords :
bank data processing; data warehouses; marketing data processing; European financial institutions; banking; customer knowledge management; customer needs; customer preferences; knowledge patterns; market trend knowledge management; product knowledge management; Application software; Availability; Banking; Business; Data mining; Logic; Software systems; System analysis and design; Time factors; Warehousing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Database and Expert Systems Applications, 2000. Proceedings. 11th International Workshop on
Conference_Location :
London
ISSN :
1529-4188
Print_ISBN :
0-7695-0680-1
Type :
conf
DOI :
10.1109/DEXA.2000.875120
Filename :
875120
Link To Document :
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