Best Practices in Data Management
Ever since enterprise risk management (ERM) systems first came to the forefront in the mid-1990s, financial institutions worldwide have been grappling with ERM principles and their viable implementation. In general, an ERM system should capture and analyze information across all lines of business on multiple topics (e.g., exposures, limits on product lines and business units, etc.), provide analytic capabilities (e.g., concentration analysis, stress testing, VaR calculations, etc.) and produce
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