A government organization faced challenges leveraging its investigative data to support criminal network analysis and case development. Data from multiple siloed sources, both structured and unstructured, had inconsistent formats and naming conventions, making it difficult to connect and interpret. Analysts needed prior knowledge of data models and had to navigate multiple systems to answer key questions, slowing investigations and limiting insights. This fragmentation reduced the agency’s ability to identify relationships, detect patterns, and perform comprehensive threat analysis, highlighting the need for a unified approach to integrate data and improve investigative efficiency.

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