A Novel Distributed Software Architecture for Managing Customer Behavior Data: A Case Study in Banking Sector

Abstract

We propose a Lambda-based, distributed, big data analysis architecture explicitly designed for the banking sector within the scope of this study. The proposed architecture is designed to extract useful information from user behavior data. The results derived from user behavior data obtained from many sources aim to increase the performance and efficiency of digital banking applications. The prototype implementation of the proposed architecture is designed, developed, and implemented. Performance and scalability tests were carried out on the prototype application. The results obtained reveal the usability of the proposed architecture in the banking sector.