Abstract
Public Sector Banks (PSB) in India are embarking on a comprehensive set of Information Technology initiatives. Since embracing technology alone is not enough to bring operational efficiency and profitability in the business it has become critical for PSBs to have an enterprise level strategy in which technology plans are in total alignment with business strategies. In this paper we propose an enterprise architecture which serves as a guideline for PSBs’ IT strategies. This architecture is based on an assessment carried out on representative PSBs- studying their business & Technology plans, business processes and information requirements with focus on some key areas like ALM, Credit Risk Management (CRM), Investment Portfolio Management (IPM), FOREX (Foreign Exchange) etc.
Based on the assessment and best IT enabled practices in the banking industry, an Enterprise Maturity Model (EMM) has been evolved to provide banks a structured frame-work having five hierarchical layers with defined business objectives at each level starting with basic objectives like increasing operational efficiency at the bottom most layer and leading up to very strategic objectives like maximizing wealth and stakeholder value at the highest level. To meet these objectives, a set of business systems for the key areas like ALM, CRM, IPM, Human Resource Management System and Customer Information Management System have been identified whose features are also layered with well-defined functionality to aid decision-making. The other critical component of the EMM is a multi-layered Information Technology architecture to support the applications at each layer. This methodology is unique and different from existing methodologies.
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© 2006 International Federation for Information Processing
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Diwakar, H., Saha, A. (2006). Enterprise Maturity Model — The Technology Aligned Business Strategy Model for Indian Banks. In: Tjoa, A.M., Xu, L., Chaudhry, S.S. (eds) Research and Practical Issues of Enterprise Information Systems. IFIP International Federation for Information Processing, vol 205. Springer, Boston, MA. https://doi.org/10.1007/0-387-34456-X_23
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DOI: https://doi.org/10.1007/0-387-34456-X_23
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