A multinational pharmaceutical company faced challenges managing large volumes of structured and unstructured data that were difficult to index, search, and use effectively. To improve data access and collaboration, the company sought a data fabric solution capable of extracting insights from unstructured documents and building a knowledge graph for better discovery, interoperability, and standardization. The organization evaluated multiple vendors through proof of concepts to assess their capabilities. However, the complexity of comparing solutions and ensuring alignment with business needs made it difficult to identify the most effective approach for enabling scalable, efficient data integration and analytics.

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