A global investment bank faced challenges in managing risk data due to reliance on unstructured, text-based inputs from analysts across departments and regions. Variations in language, terminology, and writing styles made it difficult to create consistent risk reporting, track trends over time, and compare insights effectively. This lack of standardization limited the organization’s ability to monitor risks accurately and support decision-making. As the volume and complexity of risk information grew, the need for a structured, consistent taxonomy became critical to improve clarity, enable better analysis, and support more reliable and scalable risk management processes.

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