Data Lake / Data Warehouse Modernization · Enterprise Knowledge Search
Novo Nordisk needed a better way to support clinical trial data democratization and generative AI for faster drug development because clinical data lived across fragmented systems, which slowed collaboration, limited secondary research, and delayed AI-driven trial optimization.
Reported impact
Novo Nordisk improved clinical trial data democratization and generative AI for faster drug development with measurable results including 20% of the team uses clinical data, $157M+ in net new value, and $14M in operational efficiency gains, while giving teams a faster path from governed data to production decisions.
Novo Nordisk uses Databricks Data + AI Platform to support clinical trial data democratization and generative AI for faster drug development. The implementation replaced a legacy state where clinical data lived across fragmented systems, which slowed collaboration, limited secondary research, and delayed AI-driven trial optimization. Clinical trial data and patient demographics move through Spark Declarative Pipelines and land in shared lakehouse datasets, giving teams one trusted data foundation. Unity Catalog governs access, lineage, and compliance across sensitive datasets. Databricks SQL, Model Serving, and Genie operationalize models, agents, and analytics that deliver trial design insights and cohort selection guidance.
Clinical trial data and patient demographics land on a shared platform, pipeline services clean and standardize them, governance controls enforce trusted access, and AI, model-serving, and analytics services deliver trial design insights and cohort selection guidance.
Patients are waiting — how do we go faster?
There’s recognition from senior leadership that good quality data enables better, faster decisions,
This is our top strategic play for how we run clinical development. It’s all hands on deck, including upskilling and growing our AI acumen.
collaboration and back-and-forth exchanges between scientists and medical experts lead to deeper insights.
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Scoring methodology
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Traceability
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
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