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dc.contributor.authorވޯރލްޑް ބޭންކް ގްރޫޕް-
dc.contributor.authorWorld Bank Group-
dc.date.accessioned2021-05-31T05:54:48Z-
dc.date.available2021-05-31T05:54:48Z-
dc.date.issued2017-
dc.identifier.citationWorld Bank Group. (2017). : Who will Churn? : Leveraging Predictive Modeling for Insights and Action on DFS Customer Inactivity : World Banken_US
dc.identifier.urihttp://saruna.mnu.edu.mv/jspui/handle/123456789/10588-
dc.publisherWorld Bank Groupen_US
dc.titleWho will Churn? : Leveraging Predictive Modeling for Insights and Action on DFS Customer Inactivityen_US
dc.title.alternativeWho will Churn? : Leveraging Predictive Modeling for Insights and Action on DFS Customer Inactivityen_US
Appears in Collections:ވިޔަފާރިއާއި އިޤްތިޞާދު
Commerce A


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