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Reducing Competitive Risk in Indian Banks through Business Intelligence

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  • Dinesh Kumar

    (Bank of Baroda, Patna, Bihar, India)

Abstract

Business Intelligence (BI) uses information technology software, in particular Extensible Markup Language (XML), to provide competitive information in support of competitive risk analysis for executive decision making. Research in the Indian banking industry indicated that BI data suffered from time lag, poor quality, lack of customer-specific data, and improper classification of data. Furthermore, after 1995 there was retail boom in India, which increased the number of banking clients, followed by the use of virtual banking through the Internet, thus increasing the number of transactions. The Reserve Bank of India (RBI) directed all banks to eliminate manual interventions for BI data collection and to establish a centralized BI system by December 31, 2013. This was a problem for the majority of banks who used older systems for BI. This action research study examined how banks were implementing BI while complying with the RBI directive. Several best-practice BI models were developed from interviews with the case study organization and based on analysis of project data.

Suggested Citation

  • Dinesh Kumar, 2013. "Reducing Competitive Risk in Indian Banks through Business Intelligence," International Journal of Risk and Contingency Management (IJRCM), IGI Global, vol. 2(3), pages 37-48, July.
    • Handle: RePEc:igg:jrcm00:v:2:y:2013:i:3:p:37-48
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