Big Data makes a Big Difference for Life Sciences · Big Data makes a Big Difference for Life Sciences 4 September, 2014 ... 360 view of patient ... highlighted as ~ 1-of-top 30 worldwide

© 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

© Copyright 2014. Apps Associates LLC. 2 Source: 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


90%

Of the world’s data has been created in the last two years

Source: IBM

Explosion of Data!


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


What is Big Data?

CRM

Volume, Velocity, Variety

Clinical / EHR RFID

Website

Log files

Social Media

Medicare Claims Rx

Images, diagnostics

Documents, surveys, email

unstructured, structured, streaming

Genomic data


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


• 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


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?


• Genomic sequencing, annotation and analysis • Disease causation / progression • Personalized medicine – 360 view of patient • New revenue streams – patient monitoring • Simulation / modeling • Knowledge databases / collaborative authoring • Internal Facebook sites

Product Development Use Cases for Big Data


• 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


• Customer Support / Servicing • Marketing effectiveness • 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


Big Data Technologies


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


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


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


• 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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