Branch Efficiency and Location Forecasting: Application of Ziraat Bank

Ilker Met, Guven Tunalı, Ayfer Erkoc, Sinan Tanrikulu and M. Ozgur Dolgun

Journal of Applied Finance & Banking, 2017, vol. 7, issue 4, 1

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, G02Keywords: Big Data, Data Mining, Clustering Analysis, Value and Potential Value Segmentation

Date: 2017
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