What Is An R&D Data Cloud?

Accelerating discovery for biopharma R&D requires a purpose-built solution with plug-and-play integrations -- engineered and continuously enhanced by an organization with deep roots in life sciences and cloud, backed by a fast-growing ecosystem of partners, and committed to making data findable, accessible, interoperable, and reusable (FAIR).

Learn more about real-world requirements for implementing an R&D Data Cloud for life sciences by reading our whitepaper: What is an R&D Data Cloud?

WHAT YOU'LL LEARN

Why conventional “data lake/data warehouse” strategies add risk and cost, deliver limited value, and often fail
Why R&D focus is required to build robust integrations and harmonize data for easy consumption by applications
How a data-centric approach helps liberate data, ensure validity and long-term utility
How a cloud-native architecture delivers elastic scaling, improved uptime, and increased performance
How a vendor-agnostic strategy, open partner ecosystem, and relentless focus on data validity and accessibility prevents costly lock-in and data silos