Data Mining in Banks: A Bibliometric Analysis

Overview: Banking is the core influencing unit of the economy and over the years, the banking system has evolved from digitalization to the management information system, enabling complex blockchain technology and fintech to take the lead. Data mining is a process within the management information system that enables the banks in decision-making. Data warehousing and data mining are now common processes in every industry to efficiently implement customer relationship management.

Purpose: The purpose of the study is to analyse the trend, author origin, keywords(DE) and relevant sources to this field. This is done through the identification of best sources of journals based on Bradford’s Law and source citation index, relevant keywords according to thematic mapping, thematic evolution and also analyzing clusters through network and overlay visualization.

Approach of the Study: The study is conducted by accumulating data from the database SCOPUS and 366 records were found for further analysis after the application of required filters. The extracted file was further run in Biblioshiny and Vosviewer for analysis.

Paper Type: Analytical Paper.

Keywords: Banks, Biblioshiny, Data mining, Scopus database, VOSViewer.