A global philanthropic organization focused on health programs struggled to fully utilize valuable knowledge stored in semi-structured and unstructured documents. Researchers within a health funding program lacked access to critical qualitative insights from surveys and transcripts, limiting their ability to incorporate end-user perspectives into decisions. This gap led to wasted time and resources, as teams manually created research outputs without sufficient context. At the enterprise level, multiple teams also faced challenges ingesting and using complex unstructured data, preventing efficient research and investment analysis and hindering the organization’s ability to maximize the value of its knowledge assets.

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