Rising numbers of financial institutions are introducing and expanding their offerings of
electronic banking products. Central to the business strategy of every financial service company
is the ability to retain existing customer and reach new prospective customers. The Banking
industry in Bangladesh is growing rapidly and it has become more and more important to keep
pace with the growth of the industry through technological advancements and innovative ideas to
market the organization to the masses. Portfolio of products offered by bank providers has
diversified, over the years, attracting more customers than ever. Accumulation of operational data
inevitably follows from this growth in industry. There exists an increasing need to convert their
data into a corporate asset in order to stay ahead and gain a competitive advantage. Data mining is
adopted to play an important role in these efforts. Data mining is an iterative process that
combines business knowledge, machine learning methods and tools and large amounts of accurate
and relevant information to enable the discovery of non-intuitive insights hidden in the
organization’s corporate data. This information can refine existing processes, uncover trends and
help formulating policies regarding the company’s relation to its customers and employees. In the
International Journal of Data Mining & Knowledge Management Process (IJDKP) Vol.5, No.2, March 2015
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financial area, data mining has been applied successfully in determining the likely eligible
candidate for loan disbursement, finding profitable customers, products, characterizing different
product segments [1]. All of these factors are challenging old ways of doing business and forcing
banks to consider reinventing themselves to win in the marketplace. In this aspect to find out
good customers to disbursing loan is really a challenging issue in the banking era. This paper is
trying to find out the prospective business sectors for retail banking.