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(Project
Coordinator : Dr. P. Radha Krishna)
Retail Banking is all set to become the area of focus for the banks in the new millennium. Over the last few years, banks across the country have been taking a long, hard look at the retail market and this is precisely why banks are competing against themselves to enter new segments like car loans, specialized loans, segmented loans etc.
New products and schemes might improve the business. But a proper decision support system should exist to overcome the difficulties arising during the operation and to promote these products and schemes. For example, a loan officer must be able to identify potential credit risks during the loan approval cycle to minimize loan defaults.
Data Mining has brought some new technologies that have the potential to improve the functioning of financial products in retail banking as well as to produce easily interpretable results. Data Mining is also useful in finding interest patterns in the database. The project aimed at developing a suitable Information Mining tool for large-scale Decision Support to Retail Banking.
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