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How do you create meaningful data analytics to improve lane management and logistics when faced with multiple diverse data structures, inconsistent terminology, varying descriptions, and internal systems gaps? In this session, Dr. Clare Augustine from Amgen discusses an innovative design pattern that involves extracting facts from unstructured data and then joining it with structured data in order. With this approach, Amgen has been able to improve re-use and get new value out of data that was previously stagnant and locked in silos.

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