Altair Acquires Cambridge Semantics, Powering Next-Generation Enterprise Data Fabrics and Generative AI. Read More
Cambridge Semantics’ Anzo® provides a fundamentally superior approach to managing your data with ease. It is the only knowledge graph-based solution for automating clinical data standards management available in the marketplace today. Anzo provides a highly-flexible platform that allows organizations to easily adopt and use metadata standards from various standards groups (e.g. CDISC. org, HL7.org), and integrate these standards with their internal processes, systems, and partners.
An Anzo-based solution provides the flexibility to make changes “on the fly” at every step in the clinical development process – even from downstream applications – without duplicating data, while enforcing strict governance and change management processes, and preserving all data lineage and provenance information.
Anzo enables shorter implementation and deployment times (3-4 months, as opposed to the 12-24 months it takes with other approaches) due to its powerful graph-based architecture
CDISC standards form the basis of Anzo-based clinical data standards management implementations, ensuring compliance with federal and international regulatory mandates
New versions of data standards are automatic and curator-driven to update existing mappings, and cascades associated changes to end-to-end data models and downstream clinical systems
Anzo accommodates changes throughout the entire clinical lifecycle, harmonizing all system changes and maintaining a 'single version of the truth' while enforcing strict governance
Learn how Anzo accommodates changes throughout the entire clinical lifecycle - including changes made from downstream systems.
Learn how Anzo helped a leading global pharmaceutical company that was struggling to comply with federal and international mandates for clinical data standards.
Download this Whitepaper to learn how Anzo allows multinational pharmaceutical companies to overcome the challenges associated with managing hundreds of global clinical trial data standards with spreadsheets and manual processes.