Abstract
It is important to if you can’t measure you can’t manage it. With this respect to get qualified information we need a method to big data. The size of Bank and operational data make classical productivity measurement methods impractical. For this reason, the productivity is measured by using data mining approaches. In this project; an analytical solution that enables efficient and productive use of centralized management and sources as well as the automation of location based reporting has been established in order to provide support for branching strategies.
JEL classification numbers: C13, C80, G02
Keywords: Big Data, Data Mining, Clustering Analysis, Value and Potential Value Segmentation
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