A multinational bank faced significant challenges in managing risk due to fragmented data across multiple systems with inconsistent terminology and classifications, making it difficult to connect related information. This led to time-consuming efforts, often taking weeks, to compile data for regulatory reporting and resulted in gaps that impacted effective risk management. Additionally, critical data remained siloed within process-specific applications, limiting accessibility for stakeholders and systems. The complexity of the data further created a need for more intuitive tools, as employees struggled to efficiently interpret and use information for timely, informed risk-related decisions.

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