A Study of Data Requirements for Data Mining Applications in Banking
Mina Ranjbarfard, Shahideh Ahmadi
Journal of Digital Information Management, Vol. 18, No. 3, 2020.
DOI: https://doi.org/10.6025/jdim/2020/18/3/109-117
Link: http://dline.info/fpaper/jdim/v18i3/jdimv18i3_3.pdf
Abstract:
There are many studies that have applied data mining to banking. However, the lack of proper data
mounts a serious obstacle to the employment of data mining techniques by banks. This paper examines previous data mining research in the field of banking to extract all served entities and attributes required for analytical purposes, categorize these attributes and ultimately present a data model for analysis. After analyzing a wide range of data mining applications in banking, 28 entities
with 423 attributes were identified and the final proposed entity-relationship model was drawn. Also, a checklist was provided based on the model for auditing data gap in banks and applied to a real case. The results of this paper can be seen as a supportive tool for improving bank's business intelligence maturity from the data perspective and enabling managers for analyzing data requirement of information systems.