In pharmaceutical manufacturing, data consistency and integrity are critical for efficient operations, regulatory compliance, and continuous improvement. A well-defined data taxonomy is fundamental for seamless data exchange and integration, helping organizations standardize and structure their data to unlock valuable insights and enable efficient system interoperability.
This session will explore how nomenclature and taxonomy play a pivotal role in bridging data across diverse sources, systems, and end-users. Attendees will gain insights into:
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Why standardization through naming conventions and hierarchical frameworks is foundational for aligning platforms and enhancing communication.
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Common challenges and inefficiencies caused by inconsistent data structures.
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Industry standards and best practices for structuring manufacturing data and ensuring interoperability.
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How AVEVA PI Asset Framework [AF] can be leveraged to create a scalable, structured data model that meets the needs of diverse users.
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Real-world applications of structured nomenclature and taxonomy within pharmaceutical manufacturing, demonstrating the impact on data integration, clarity, and usability.
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Actionable best practices and a roadmap to achieving standardization, ensuring long-term benefits for operational excellence, scalability, and compliance.