Accenture Life Sciences cloud-based informatics platform for research2. VISIONFORRESEARCHTRANSFORMATION
Copyright © 2018 Accenture. All rights reserved. 2
Over the past two years, Accenture engaged with 40+ organizations to validate our
understanding of Research Informatics challenges and the need for a new solution
The Changing Ecosystem
Externalization
Data volume &
types
Science and technology
breakthrough
Precision / Outcomes
Infrastructure costs
Time and effort to
IND
Manual analysis
Collaboration
ramp up time
One directional
process
Paper
Long SW
implementations
Manual data collation
6
MORE
LESS
STOP
Machine Learning
IoT, Mobility, Cloud
Non-traditional
players
Simulation & modeling
Disparity across industry
Barriers to new
capabilities
Dark data & data silos
Repeat
experimentation
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MORE
LESS
Six Imperatives for Future-state Research
1.Next generation
capabilities
deployed and
integrated
rapidly to keep
pace with
changing
science,
capitalizing on
the platform
economy
2.Collaborations
mobilized
seamlessly,
quickly and
securely for
growing
externalized
research
3.Diverse and
complex data
types
captured and
managed in
growing
volumes
4.Insight-driven
decision
making through
advanced
analytics and
visualization
5.Agility and
operational
efficiency drive
reduced costs,
allowing greater
investment in
innovation
6.Digitization
of research
processes,
the user
experience with
workplace of the
future, and the
emergence of
new business
models
4. ACCENTURE’SNEWCLOUD-BASED
INFORMATICSPLATFORM
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An open, standards-based cloud platform bringing together core research informatics
capabilities to support pharmaceutical research and early development
Secure environment to enable
collaboration agilityINTEGRATION
SERVICES
ANALYTICS
APPLICATIONS
DATA
INFRASTRUCTURE
Multi-tenant, open cloud platform
Platform for rapid application
deployment and development
Modern UI/user experience
Advanced decision support, ML/AI
Global data accessibility and end-
to-end data management
PLATFORM
ECOSYSTEM
5. RESEARCHINFORMATICSLANDSCAPE
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This cloud-based platform enhances current research applications and workflow to
enable a more efficient, effective way to operate all within the cloud
ELN BiologicsAssay data
mgmt.
Entity
registration
Chemistry
data
warehouse
Assay
protocol
mgmt.
Request /
workflow
Report
creation
Systems
biology
Analytics &
visualization
Compound
/ sample
mgmt.
ML /
Predictive
Analytics
Amazon Web Services (AWS) Cloud Infrastructure
Data Capture and Ingestion
Data Standardization
Data Enrichment and Relationship Linking
Enable Internal & External Collaboration
Access & Exchange, Security Services
6. EMBRACINGTHENEW
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Leveraging new technologies to facilitate research transformation
IoT/Wearables,
Connected Lab
AI / Machine
Learning, Robotics
“Appified”
Research Tools
Scientific User
Experience of
the Future
Sophisticated, Secure
Collaboration Tools
• Fragmentation
of large
traditional apps
into discrete
capabilities to
provide greater
flexibility and
accelerates IT
innovation
• Real-time
patient info for
translational
research
• Remote access
/ control of lab
instruments
(e.g., LIMS)
• Seamless
collaboration with
ext. research centers
• Request mgmt. and
data sharing with
CROs
• Rapid deployment
of firewalled
partnerships
environments
• High throughput/
parallelized
molecular biology
(e.g., antibody
discovery, CRISPR)
• Hypervariable
analysis (e.g., high
content screening,
genotype-
phenotype
correlation)
• Modern,
consistent look
and feel across IT
app landscape
• Mobile enabled
scientific apps
for use within the
lab
8. DATA SERVICES
OURPLATFORMTECHNOLOGYFRAMEWORK
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Brings together a set of core service and technologies
Cloud hosted suite of capabilities that
delivers end-to-end functionality
Cloud based service enabled software
solutions available to users intending to
transition from on premise or existing
software products
Powerful on-demand computing and
processing providing near real-time analytics
Flexible aggregation and visualization of data
Data marts that provide fit-for-purpose views
PRESENTATION SERVICES/
DASHBOARD
TRANSACTIONAL
SYSTEMS/FUNCTIONALITY
ADVANCED ANALYTICS &
VISUALIZATION
9. SUBSCRIBER AND EXTERNAL
PARTNER ECOSYSTEM
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Accessible, pluggable, and extendable
set of integrated capabilities
Robust set of data services for 3rd party
expansion of capabilities
Enables the externalization of scientific
programs
Controlled access to a shared and
secured knowledge repository
Full range of Analytics and Visualization
capabilities
CLOUD INFRASTRUCTURE
SECURITY/IDENTITY
ACCESS MGT.
SERVICE ACCESS &
EXCHANGE LAYER
OURPLATFORMTECHNOLOGYFRAMEWORK
This technology stack brings together a set of core service and technologies
10. PRECOMPETITIVEBUSINESSMODEL
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The Platform Coalition members will work together using a sustainable pre-
competitive governance model consistent with other successful pre-competitive
coalitions established by Accenture
Multiple founding
companies co-
invest to build the
platform.
Guiding Principles
Decision-making rights
and processes sit with
the coalition to govern
the platform and
prioritize product
development
Accenture
implements and
maintains the
platform, and
configures to client
needs
We will engage with
leading industry
software and solution
partners in an open
way to benefit the
platform
1. 2. 3. 4.
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COALITION
BUSINESS
MODEL
COMPONENTS
Coalition
Governance
Investment &
Operating Funds
Commercial
Model and Terms
Vendor Relationship
Management
12. QUESTIONS?
JOE DONAHUE
Managing Director, Global Life Sciences R&D
Accenture
joseph.f.donahue@accenture.com
MIKE STAPLETON
Managing Director, Global Life Sciences R&D
Accenture
m.stapleton@accenture.com
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Learn more: accenture.com/informatics