Life Science and Healthcare industry leaders are finding success managing their disparate and unstructured data by implementing enterprise data fabrics. In this webinar you'll learn how leading organizations are using data fabrics to enable powerful and novel health sciences insights.
Healthcare and Life Sciences: Two Industries Separated by Common Data
1. Life Sciences and Healthcare –
Two Industries Separated by Common Data
James T. LaPointe - Managing Director Healthcare and Life Sciences
2020-Apr-08
30. RDBMS/OLTP Big Data / Hadoop Document Repositories
Traditional BI Cloud
CUSTOMERS
PRODUCTS
CLAIMS
COMPOUNDS
onboard
model
blend
access
ANZO IN THE DATA FABRIC
ARCHITECTURE
Analytics-ready
Data Products WWW Consortium (W3C) Open Standards
• RDF - Resource Description Framework
• OWL – Web Ontology Language
• SPARQL – RDF Query Language
39. Enterprise Data Fabrics in Health Sciences
Modernizing clinical data standards
management to accelerate drug development
Integrated data layer to take cross-trial analytics
questions from weeks to hours.
Operationalized text analytics for
consumer feedback
Deliver a Regulatory Data Fabric for IDMP
Accelerate drug development through an
enterprise data fabric
Building a Submission Review platform for CDER
to integrate agency data sources
Accelerate scale and growth of M2Gen’s
ORIEN Program and Pharma partnerships
Discovery and Integration across Clinical and
R&D in support of global data sharing initiative
Integration, Discovery and insights for Global
Safety and PV
40. Anzo Enterprise Data Fabric
The leading platform for building a graph-based Data Fabric
Open StandardsEnd-to-end Enterprise Scale
More information:
Jim LaPointe - jtlapointe@cambridgesemantics.com
Anzo – info@cambridgesemantics.com
www.cambridgesemantics.com
Gartner Whitepaper:
“Life Science CIOs: Embrace Next-Generation
Data and Analytics Platforms to Manage Clinical
Data Challenges”