Architecting Enterprise Data Management System

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Explore the factors required for a succcessful enterprise data management initiative Compliance, risk management, cost efficiency of operations, effectiveness of client relationships and marketing have all driven a need for better data management among capital markets firms. All of these business functions rely on the accuracy of reference data, but multiple parties like credit risk, […]

Explore the factors required for a succcessful enterprise data management initiative

Compliance, risk management, cost efficiency of operations, effectiveness of client relationships and marketing have all driven a need for better data management among capital markets firms. All of these business functions rely on the accuracy of reference data, but multiple parties like credit risk, operations, trading and compliance executives all view the same information differently.

This can lead to material disputes about how much information should be stored, in what form and who should control it. Capgemini explores how a successful enterprise data management project requires a deep understanding of the three Cs: classification of data, consolidation fo data and consumption of data.

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