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Improved churn prediction by more effective use of customer data: The case of private banking customers

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dc.contributor.advisorAli, Özden Gür
dc.contributor.departmentGraduate School of Sciences and Engineering
dc.contributor.kuauthorArıtürk, Umut
dc.contributor.programIndustrial Engineering
dc.contributor.schoolcollegeinstituteGRADUATE SCHOOL OF SCIENCES AND ENGINEERING
dc.coverage.spatialİstanbul
dc.date.accessioned2024-11-09T22:21:50Z
dc.date.issued2011
dc.format.extentxiii, 113 l. : ill. ; 30 cm.
dc.identifier.urihttps://hdl.handle.net/20.500.14288/5090
dc.language.isoeng
dc.publisherKoç University
dc.relation.collectionKU Theses and Dissertations
dc.rightsrestrictedAccess
dc.rights.copyrightsnote© All Rights Reserved. Accessible to Koç University Affiliated Users Only!
dc.subjectCustomer loyalty programs
dc.subjectCustomer relations, Data processing
dc.subjectCustomer relations, Management
dc.subjectConsumer satisfaction
dc.subjectBanks and banking, Customer services
dc.titleImproved churn prediction by more effective use of customer data: The case of private banking customers
dc.typeThesis
dspace.entity.typePublication
local.contributor.kuauthorArıtürk, Umut
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