Data Lake / Data Warehouse Modernization · Real-time Analytics
Novartis needed to unify fragmented data across R&D, manufacturing, commercial, and corporate functions so teams could analyze growing biomedical and operational data sets faster and apply AI to drug development and patient operations.
Reported impact
Novartis accelerated analytics use-case development, gave global teams governed access to richer data, and built an AI-ready platform that supports faster decision making, broader experimentation, and more scalable innovation across the enterprise.
Accenture helped Novartis design and implement a multi-cloud data analytics platform that consolidates enterprise data for AI- and analytics-driven decision making. The program established the data and analytics operating model, governance framework, roadmap, centralized data catalogue, and platform architecture, using Amazon Web Services as the primary cloud provider and Microsoft Azure as a secondary cloud environment. The platform ingests, unifies, and refines internal and external data from more than 80 sources across Development, Commercial, Manufacturing and Quality, and Corporate Business Services. Standardized data is then exposed to analytics tools and AI/ML workloads that simplify reporting, speed experimentation, and support cross-functional use cases such as clinical trial risk monitoring and patient-services analysis. By combining large-scale ingestion, governed cataloging, multi-cloud processing, and self-service analytics, Novartis created a reusable data foundation for faster innovation and broader application of AI across the business.
Internal and external data from more than 80 sources is ingested into the multi-cloud platform, standardized through shared governance and cataloging, and then exposed to analytics and AI/ML tools. Teams across R&D, commercial, manufacturing, and business services use the resulting data products for reporting, experimentation, and operational decision making.
"Teams now have a smorgasbord of analytics tools, supported by AI and ML"
"The platform ingests, unifies and refines more than 9TB of internal and external data from over 80 sources"
"Working with Amazon Web Services (AWS) as the primary cloud provider, Novartis also engaged Microsoft Azure to create a multi-cloud platform"
"created the data and analytics operating model, governance, road map, architecture, centralized data catalogue and platform"
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