1. © Copyright 2014. Apps Associates LLC. 1
Big Data makes a Big Difference for Life Sciences
4 September, 2014
Fran Daly
Sr. Director, Life Sciences
Apps Associates LLC
Julian Troake
Marketing Director
Apps Associates LLC

2. © Copyright 2014. Apps Associates LLC. 2Source: IBM
Agenda
• What is Big Data?
• Why Big Data?
• Use Cases for Big Data in Life Sciences Industry
– Product Development, Clinical, Commercial
• Technology for Big Data
• Building Big Data Capabilities in your Organization
• About Apps Associates

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90%
Of the world’s data has been created in the last two years
Source: IBM
Explosion of Data!
Source: Gartner’s 2013 Big Data Survey

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30%
of companies have
invested in big data
technology
Source: Gartner’s 2013 Big Data Survey
8%
of companies have
deployed big data
solutions
Big Data Adoption

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What is Big Data?
CRM
Volume, Velocity,
Variety
Clinical /
EHR RFID
Website
Log files
Social
Media
Medicare
ClaimsRx
Images,
diagnostics
Documents,
surveys, email
unstructured,
structured, streaming
Genomic
data

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Transportation & Logistics
Medical &
Healthcare
Industrial & Energy
AWS Big data
Infrastructure
Security & Surveillance
Amazon Kinesis
Amazon
Redshift
Amazon EMR
Big Data and the Internet of Things

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• Cloud Computing Infrastructure
─ Unlimited capacity on demand
─ Auto-scaling / parallel processing
─ Low cost / no initial h/w investment
• Open source tools
─ Hadoop / map reduce technology
─ Analytics
─ GATK (Genomic Analytics)
─ No sql databases
• High speed communications (internet, mobile, wireless)
Big Data Enablers

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Be the 15%!
Through 2015, 85% of Fortune 500 companies will be
unable to exploit big data for competitive advantage
-Gartner
Competitive Advantage
Why Big Data?

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• Genomic sequencing, annotation and analysis
• Personalized medicine – 360 view of patient
• New revenue streams – patient monitoring
• Simulation / modeling
• Academic databases / basic research
• Collaborative authoring / Internal Facebook
sites
Product Development Use Cases for Big Data

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• Precisely targeted Patient Recruitment
• Real Time Clinical Trial Analytics
─ Physician sign up
─ Site Activation
─ Monitoring key milestone progress
─ Data deficiencies
• Earlier adverse reaction signaling / detection
• Sooner protocol / treatment problem
detection
• Clinical Supply Management
• Device failures / service issues / complaints
Clinical Use Cases for Big Data

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• Customer Support / Servicing
• Sentiment analysis – product and competition
• New Revenue Streams – patient monitoring
• Product Quality improvements – device data
• Outcome benefits measurement (ACA, Medicare, PCORB)
• Liability protection, compliance – detecting problems early on
• Operational Efficiency - self problem reporting
Commercial Use Cases for Big Data

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Big Data Technologies

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Amazon EMR
(Elastic Map Reduce)
Amazon Redshift AWS Data Pipeline
Hosted Hadoop
framework
Petabyte-scale data
warehouse service
Move data among AWS
services and on-
premises data sources
AWS Big Data Services

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Exploration:
• Learning
• Use case definition
Experimentation:
• Open source tools
• Cloud computing
• Pilot projects
Large Scale Adoption:
• Data definition
• Curation
• Security, Governance
• Architecture
• Skilled resources
Incremental Approach!
Building Big Data Capabilities

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Key Capabilities:
• Cloud Computing know how
• Data acquisition / ingestion
• Data parsing and interpretation
• Data simplification and storage
• Analysis and visualization
• Security and access provisioning
Unlocking Big Data

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• Advanced Consulting Partner status
─ Managed Services Provider Competency
─ Oracle Competency
• Considered top partner in Oracle ecosystem /
highlighted as ~ 1-of-top 30 worldwide at AWS Summit
• Joint Oracle OEM Product Development
• Various Webinars, Presentations at OOW, re:Invent
• Successful deployment on AWS
─ Datacenter migration – Complete & Partial workloads
─ Oracle Workloads – Production, DR, Test/Dev
─ Oracle EBS, OBI, FMW – Portal, Webcenter deployments
Apps Associates & AWS

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Web: www.appsassociates.com
Email: fran.daly@appsassociates.com | julian.troake@appsassociates.com
YouTube: www.youtube.com/user/AppsAssociates
LinkedIn: www.us.linkedin.com/company/Apps-Associates
Twitter: @AppsAssociates
Facebook: www.facebook.com/AppsAssociatesGlobal
Google+: www.plus.google.com/+AppsAssociatesGlobal/
Connect with Us

18. Thank You!

19. Clinical Trial Structured Data
• Data Entities
• Sites
• Investigators
• Patients
• Study Milestones (e.g. Site Activation, Patient Recruitment, Informed Consent,
Database Lock, etc.)
• Protocols (Treatment)
• CRAs
• Clinical data / EHR data
• Data Sources
• CT s/w Packages, e.g. Oracle Clinical, eClinica, ClinTrial):
• Feeds from CROs (Covance, Quintiles, ICON)
• Lab Data (EHR)