Publication result detail

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

SODOMKA, P.; KLČOVÁ, H.

Original Title

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

English Title

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

Type

Paper in proceedings (conference paper)

Original Abstract

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.

English abstract

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.

Keywords

Business information system, banking, business intelligence, data warehouse, data mining, data audit, segmentation, OLAP (on-line analytical processing)

Key words in English

Business information system, banking, business intelligence, data warehouse, data mining, data audit, segmentation, OLAP (on-line analytical processing)

Authors

SODOMKA, P.; KLČOVÁ, H.

RIV year

2016

Released

08.05.2015

Publisher

International Business Information Management Association (IBIMA)

Location

Amsterdam, Netherlands

ISBN

978-0-9860419-4-5

Book

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

Edition

IBIMA

Pages from

2552

Pages to

2560

Pages count

9

BibTex

@inproceedings{BUT115751,
  author="Petr {Sodomka} and Hana {Klčová}",
  title="Data Mining and Its Use in Customer Segmentation in the Banking Sector: A Case Study",
  booktitle="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",
  year="2015",
  series="IBIMA",
  number="1",
  pages="2552--2560",
  publisher="International Business Information Management Association (IBIMA)",
  address="Amsterdam, Netherlands",
  isbn="978-0-9860419-4-5"
}