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Data Warehousing and Analytics in Banking: Implementation

Data Warehousing and Analytics in Banking: Implementation
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Author(s): L. Venkat Narayanan (Satyam Computer Services, Singapore)
Copyright: 2008
Pages: 15
Source title: Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): John Wang (Montclair State University, USA)
DOI: 10.4018/978-1-59904-951-9.ch110

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Abstract

Data Warehousing and Analytics represent one of the foremost technologies that can be used by banks to obtain sustainable competitive advantage. Adopting the right implementation methodology is critical to ensure successful implementation. Alternate implementation methodologies, typical challenges in implementation and critical success factors apart from real life case studies are discussed here, as learning points to aid in successful implementations. Future proofing implementations is critical to avoid rework and hence some key emerging trends have also been discussed.

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