Contenu connexe Similaire à Webinar: Leveraging big data in life sciences & healthcare (20) Webinar: Leveraging big data in life sciences & healthcare2. ©2014 Knowledgent Group Inc. All Rights Reserved
• Attendees will be muted for the duration of the webinar
• To ask a question, simply click on the Q&A button at the top center of
your screen
- All questions will be answered at the end of the webinar during the Q&A
section
Welcome everyone!
3. ©2014 Knowledgent Group Inc. All Rights Reserved
• Justin Sears – Hortonworks – Industry Specialist
- Presenting on how Hadoop is enabling the transformation of information
management across industries
• Tom Johnstone – Knowledgent – Managing Partner
- Presenting on how leveraging big data can help industry issues and
challenges
• Drew Holzapfel – Global CEO Initiative on Alzheimer’s Disease
- Presenting an introduction to the CEOi on Alzheimer’s Disease and their Big
Data charter
• Chris Young – Knowledgent – Life Sciences Partner
- Presenting a use case on how Knowledgent is applying Big Data to enable the
CEOi on Alzheimer’s Disease
• Q & A
Agenda
4. Page4 © Hortonworks Inc. 2011 – 2014. All Rights
Reserved
Justin Sears - Hortonworks, Industry
Specialist
5. Page5 © Hortonworks Inc. 2011 – 2014. All Rights Reserved
Open
Leadership
Drive innovation in
the open exclusively
via the Apache
community-driven
open source process
Enterprise
Rigor
Engineer, test and
certify Apache Hadoop
with the enterprise in
mind
Ecosystem
Endorsement
Focus on deep
integration with
existing data center
technologies and
skills
Enable your Modern Data Architecture
by delivering Enterprise Apache Hadoop
Hortonworks
Mission:
Reseller Partners:
Headquartered in Palo Alto, CA; 300+ employees and growing
6. Page6 © Hortonworks Inc. 2011 – 2014. All Rights Reserved
New data puts pressure on the architectureAPPLICATIONSDATASYSTEM
REPOSITORIES
SOURCES
Existing Sources
(CRM, ERP, Clickstream, Logs)
RDBMS EDW MPP
Business
Analytics
Custom
Applications
Packaged
Applications
Source: IDC
2.8 ZB in 2012
85% from New Data Types
15x Machine Data by 2020
40 ZB by 2020
Unstructured documents,
emails
Clickstream
Server logs
Sentiment, Web Data
Sensor. Machine Data
Geolocation
7. Page7 © Hortonworks Inc. 2011 – 2014. All Rights Reserved
Hadoop in a Modern Data ArchitectureAPPLICATIONS
Business
Analytics
Custom
Applications
Packaged
Applications
SOURCES
OLTP, ERP,
CRM Systems
Documents,
Emails
Web Logs,
Click Streams
Social
Networks
Machine
Generated
Sensor
Data
Geolocation
Data
OPERATIONS TOOLS
Provision,
Manage &
Monitor
DEV & DATA TOOLS
Build &
Test
DATASYSTEM
REPOSITORIES
RDBMS EDW MPP
Governance
&Integration
Security
Operations
Data Access
Data Management
8. Page8 © Hortonworks Inc. 2011 – 2014. All Rights Reserved
New analytic apps for new types of data
$
• Supplier Consolidation
• Supply Chain and Logistics
• Assembly Line Quality Assurance
• Proactive Maintenance
• Crowdsourced Quality Assurance
• New Account Risk Screens
• Fraud Prevention
• Trading Risk
• Maximize Deposit Spread
• Insurance Underwriting
• Accelerate Loan Processing
• Call Detail Records (CDRs)
• Infrastructure Investment
• Next Product to Buy (NPTB)
• Real-time Bandwidth
Allocation
• New Product Development
• 360° View of the Customer
• Analyze Brand Sentiment
• Localized, Personalized
Promotions
• Website Optimization
• Optimal Store Layout
Financial
Services
Retail Telecom
ManufacturingHealthcare
Utilities,
Oil & Gas
• Genomic data for medical trials
• Monitor patient vitals
• Reduce re-admittance rates
• Store medical research data
• Recruit cohorts for
pharmaceutical trials
• Smart meter stream
analysis
• Slow oil well decline curves
• Optimize lease bidding
• Compliance reporting
• Proactive equipment repair
• Seismic image processing
9. Page9 © Hortonworks Inc. 2011 – 2014. All Rights Reserved
HDP delivers enterprise Hadoop
HDP 2.1
Hortonworks Data Platform
Provision,
Manage &
Monitor
Ambari
Zookeeper
Scheduling
Oozie
Data Workflow,
Lifecycle &
Governance
Falcon
Sqoop
Flume
NFS
WebHDFS
YARN : Data Operating System
DATA MANAGEMENT
SECURITYDATA ACCESS
GOVERNANCE &
INTEGRATION
Authentication
Authorization
Accounting
Data Protection
Storage: HDFS
Resources: YARN
Access: Hive, …
Pipeline: Falcon
Cluster: Knox
OPERATIONS
Script
Pig
Search
Solr
SQL
Hive/Tez,
HCatalog
NoSQL
HBase
Accumulo
Stream
Storm
Others
In-Memory
Analytics,
ISV engines
1 ° ° ° ° ° ° ° ° °
° ° ° ° ° ° ° ° ° °
° ° ° ° ° ° ° ° ° °
°
°
N
HDFS
(Hadoop Distributed File System)
Batch
Map
Reduce
Deployment Choice
Linux Windows On-
Premise
Cloud
Comprehensive enterprise Hadoop delivered completely in the open
Wholly Integrated for deep ecosystem interoperability
10. Page10 © Hortonworks Inc. 2011 – 2014. All Rights Reserved
Hadoop Use Cases in Healthcare & Bioscience
• Store genomic data for use in clinical trials
• Monitor patient vital signs every minute for rapid bedside response
• Analyze brain surgery videos for real-time decision support
• Monitor social media for treatment support of chronic epilepsy
• Reduce cardiac re-admittance rates
• Screen for autism with in-home testing and analyze with machine learning
• Store medical research data forever
• Recruit research cohorts for pharmaceutical trials
• Monitor distribution of medical supplies to maintain the cold chain
13. ©2014 Knowledgent Group Inc. All Rights Reserved
DRUG
TARGET
IDENTIFICATION
PATIENT
RECRUITMENT &
SITE SELECTION
EVOLVING
COMMERCIAL
MODEL
Shifts in the Life Sciences Landscape
MECHANISM OF
ACTION
IDENTIFICATION
SEMANTIC
SEARCH &
RELEVANCY
REAL WORLD
& HEALTHCARE
ANALYTICS
with evolving functions and emerging trends come new information challenges.
leveraging ontologies
cross-pollination of R&D
info
real-world evidence
comorbidity & cohort identification
genomic correlation & derivation
molecular search & similarity
pharma-payer collaboration
outcomes-based contractin
Innovating and streamlining through advanced analytical and semantic
approaches.
14. ©2014 Knowledgent Group Inc. All Rights Reserved
Semantic indexing and
automated provisioning
and data requests
What are Innovative Companies Doing?
Scaling from Proof-of-Concept to Production grade capabilities.
R E A L W O R L D
E V I D E N C E
⇢ non-standard analytical methods
⇢ massive volumes of real world patient data
⇢ complex joins and variance of information
Rapid, purpose-built,
exploratory analytics
utilizing massively parallel
processing
USE CASE KEY CHALLENGES SOLUTION
S E M A N T I C
S E A R C H
⇢ information stored across many locations
⇢ limited user access & complex security
⇢ algorithmic search engines
Behavioral and specialty
segmentation with
prescribing influence
rating driving targeting
P H Y S I C I A N
TA R G E T I N G
⇢ shift to specialty from primary care focus
⇢ less access, shrinking sales forces
⇢ greater dependency on prescribing influence
⇢ increasing complexity in value scoring
25. ©2014 Knowledgent Group Inc. All Rights Reserved
• Expose untapped correlations & insights between
massive existing & emerging data sets
(Causes, Treatments, Care Delivery Improvements)
• Break down barriers & enable analysis of information
generated across industries
(Healthcare, Payers, Labs, Pharma, Gov’t, and
others)
The Big Data Opportunity
EHR Claims Imaging Genomic Trials Behavioral
Exponentially increasing amount of information
Devices
26. ©2014 Knowledgent Group Inc. All Rights Reserved
Insights may identify early detection signals, root
causes, or new drug targets through:
Genomic Similarities
Longitudinal Patient Patterns
Brain Imaging Analysis
Comorbidity Recognition
Behavioral/Lifestyle Influence
Demographical Dimensionality
Correlations Across Patterns
Machine Learning & Artificial Intelligence
Modern Tech Supporting Research Analytics
27. ©2014 Knowledgent Group Inc. All Rights Reserved
Actions Towards Big Data Agenda
Planning &
Execution of
Big Data
Initiatives
Member &
Partner
Engagement
Global
Awareness &
Socialization
• CEOi Summit, NIH, OECD,
G7, Webinars…
CEOi Members
Strategy Session
Bio IT World
& Launch of
Big Data Strategy
Paper Series
28. ©2014 Knowledgent Group Inc. All Rights Reserved
Alzheimer’s Strategy Development Session
Join other thought leaders, organizations and companies committed to
working together to develop a clearly defined strategy to apply Big Data to
stopping Alzheimer’s Disease by 2025. Please join us by providing your
RSVP by Monday, June 16 to Gerry Rodriguez at
gerry@ceoalzheimersinitiative.org or 212-332-6385. Space is limited and
participation will be confirmed upon receipt of your RSVP. We will also
request a biographical sketch from all participants for distribution with the
meeting materials.
Wednesday, June 25th
8:30 am – 3:30 pm EST
Columbia University’s Faculty House – Garden Room 2 (64 Morningside Drive, NYC)
30. ©2014 Knowledgent Group Inc. All Rights Reserved
Thank you for attending!
Tom Johnstone – Managing Partner
Tom.johnstone@knowledgent.com
Chris Young – Life Sciences Partner
Chris.young@knowledgent.com
Drew Holzapfel – Executive Director
Drew@ceoalzheimersinitiative.org
Justin Sears – Industry Specialist
Twitter - @jcsears
Notes de l'éditeur If Alzheimer’s was a company it would exceed the revenues of the largest company in the world reformat What we need…a “face of the disease”