DSpace Repository

Value Creation with Big Data Analytics Based on Customer Related Data: A Case Study in The Retail Banking Industry

Show simple item record

dc.contributor.advisor Dr. Vatcharaporn Esichaikul (Chairperson)
dc.contributor.author Damnon, Geoffroy
dc.contributor.other Dr. Paul Janecek (Member) Dr. Raphael Duboz (Member)
dc.date.accessioned 2015-02-10T01:45:15Z
dc.date.available 2015-02-10T01:45:15Z
dc.date.issued 2013-05
dc.identifier.other AIT RSPR no.IM-13-06 en_US
dc.identifier.uri http://www.cs.ait.ac.th/xmlui/handle/123456789/730
dc.description.abstract Big Data has been recently focussing a lot of attention and is presented as a major opportunity for companies in several domains or industries. This study presents the challenges and opportunities that Big Data represents in the domain of retail banking. The analysis focusses on churn prediction, a literature survey was performed in order to analyse the current state of the research in this domain and the potential enhancement of the churn prediction models performance based on Big Data is evaluated. Finally a logical architecture is proposed in order to introduce Big Data analytics in the retail banking industry through churn prediction. This work contains confidential data, the document cannot be released to the public. en_US
dc.description.sponsorship Telecom SudParis - AIT en_US
dc.publisher AIT en_US
dc.title Value Creation with Big Data Analytics Based on Customer Related Data: A Case Study in The Retail Banking Industry en_US
dc.type Research Report en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Advanced Search

Browse

My Account