Data Mining and Its Use in Customer Segmentation in the Banking Sector: A Case Study

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F15%3APU115061" target="_blank" >RIV/00216305:26510/15:PU115061 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Data Mining and Its Use in Customer Segmentation in the Banking Sector: A Case Study
Original language description
This case study considers the use of a data mining tool at Česká Spořitelna, the largest bank for private clients in the Czech Republic. The study describes how this banking institution performs the segmentation of its client base of more than 5.2 million customers. The study presents practical experience in the application of the tool SAS Enterprise Miner which is designed for data mining in large database structures with the use of both statistical and non-statistical methods.
Czech name
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Czech description
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Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
The 25th IBIMA conference on Innovation Vision 2020: From Regional Development Sustainability to Global Economic Growth, Proceedings of The 25th International Business Information Management Association Conference
ISBN
978-0-9860419-4-5
ISSN
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e-ISSN
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Number of pages
9
Pages from-to
2552-2560
Publisher name
International Business Information Management Association (IBIMA)
Place of publication
Amsterdam, Netherlands
Event location
Amsterdam
Event date
May 7, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000360508700249

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