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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.advisorid0000-0002-9409-4532
dc.contributor.authorArıtürk, Umut
dc.contributor.instituteKoç University Graduate School of Sciences and Engineering
dc.contributor.programIndustrial Engineering
dc.contributor.yokid57780
dc.date.accessioned2024-11-09T22:21:50Z
dc.date.issued2011
dc.descriptionxiii, 113 l. : ill. ; 30 cm.
dc.identifier.urihttps://hdl.handle.net/20.500.14288/5090
dc.languageEnglish
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.thesis.degreeMaster's Degree
dc.thesis.grantorİstanbul
dc.titleImproved churn prediction by more effective use of customer data: The case of private banking customers
dc.typeThesis
dspace.entity.typePublication
relation.isAdvisorOfThesis70477a86-3eb6-42c2-9c2e-ba8efb454768
relation.isAdvisorOfThesis.latestForDiscovery70477a86-3eb6-42c2-9c2e-ba8efb454768

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