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dc.contributor.advisorYucekaya, Ahmet
dc.contributor.authorAltun, Yasin
dc.date.accessioned2019-07-12T08:41:31Z
dc.date.available2019-07-12T08:41:31Z
dc.date.issued2016
dc.identifier.urihttps://hdl.handle.net/20.500.12469/2491
dc.description.abstractAlongside earns transaction volume and transaction number goals banks also have cross selling rate aims in recent years. Also again many banks of our day have studies on transaction cost and calculate costs for every single transaction without missing any and take this information into account while calculating the actual profitability of customer. We searched which product could be sold to customer in this process. While doing this we took the cost of offer into consideration and try to maximize yield/cost ratio. This is calculated by taking the owning ratio of customers in every segment for this specific product and average profit for every customer. The results are believed to be in a level to apply. The results show that decision support system works well.
dc.language.isoEnglish
dc.publisherKadir Has University
dc.subjectCross selling
dc.titleA probabilistic model to maximize cross-selling revenues in financial institutions
dc.typeMaster's Thesis
dc.contributor.departmentKadir Has University : Graduate School of Science and Engineering: industrial Engineering


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