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A user-centric approach to effective enterprise data services

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Abstract

Transforming raw data into information and then to intelligence is crucial to effective business strategy and can add substantial value to business operations. In the rapidly changing financial services environment, higher decision intelligence enables optimum use of capital and impacts profitability. As regulators scrutinize data integrity, and Basel II imposes capital charges commensurate with the capabilities and efficacy of risk systems, technology capabilities merit concern at the highest levels of the organization. Through its emerging Business Service Model (BSM), Deutsche Bank is seeking to prove that the intelligent and innovative use of data can be a key differentiator. Contrary to the widely accepted view, the measure of success should not be data delivery alone, but the ongoing consumption of data by business users, which can be accelerated by the refinement of data and its delivery based on users’ experience.

Suggested Citation

  • Chelliah, Gopi, 2004. "A user-centric approach to effective enterprise data services," Journal of Financial Transformation, Capco Institute, vol. 11, pages 117-124.
    • Handle: RePEc:ris:jofitr:1374
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    More about this item

    Keywords

    Financial data; financial services; Basel II; Business Service Model;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation

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