Download pptx - Webinar: Leveraging big data in life sciences & healthcare

©2014 Knowledgent Group Inc. All Rights Reserved

Leveraging Big Data in Life Sciences & Healthcare

Webinar


• 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!


• 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

Page 4 © Hortonworks Inc. 2011 – 2014. All Rights Reserved

Justin Sears - Hortonworks, Industry Specialist


Open LeadershipDrive innovation in the open exclusively via the Apache community-driven open source process

Enterprise RigorEngineer, test and certify Apache Hadoop with the enterprise in mind

Ecosystem EndorsementFocus 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


New data puts pressure on the architectureAP

PLIC

ATIO

NS

DATA

SYS

TEM

REPOSITORIES

SOU

RCES Existing Sources

(CRM, ERP, Clickstream, Logs)

RDBMS EDW MPP

Business Analytics

Custom Applications

PackagedApplications

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


Hadoop in a Modern Data ArchitectureAP

PLIC

ATIO

NS

Business Analytics

Custom Applications

PackagedApplications

SOU

RCES

OLTP, ERP,CRM Systems

Documents, Emails

Web Logs,Click Streams

Social Networks

Machine Generated

SensorData

Geolocation Data

OPERATIONS TOOLS

Provision, Manage &Monitor

DEV & DATA TOOLS

Build & Test

DATA

SYS

TEM

REPOSITORIES

RDBMS EDW MPP

Go

vern

ance

&

In

teg

rati

on

Sec

uri

ty

Op

erat

ion

sData Access

Data Management


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

ManufacturingHealthcareUtilities, 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


HDP delivers enterprise Hadoop

HDP 2.1Hortonworks Data Platform

Provision, Manage & Monitor

AmbariZookeeper

Scheduling

Oozie

Data Workflow, Lifecycle &

Governance

FalconSqoopFlume

NFSWebHDFS

YARN : Data Operating System

DATA MANAGEMENT

SECURITYDATA ACCESSGOVERNANCE &

INTEGRATION

AuthenticationAuthorization

AccountingData Protection

Storage: HDFSResources: YARNAccess: Hive, … Pipeline: Falcon

Cluster: Knox

OPERATIONS

Script

Pig

Search

Solr

SQL

Hive/Tez, HCatalog

NoSQL

HBaseAccumulo

Stream

Storm

Others

In-Memory Analytics,

ISV engines

1 ° ° ° ° ° ° ° ° °

° ° ° ° ° ° ° ° ° °

° ° ° ° ° ° ° ° ° °

°

°

N

HDFS (Hadoop Distributed File System)

Batch

Map Reduce

Deployment ChoiceLinux Windows On-

Premise Cloud

Comprehensive enterprise Hadoop delivered completely in the open

Wholly Integrated for deep ecosystem interoperability


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


Tom Johnstone – Knowledgent, Managing Partner


Aligning Modern Tech with the Use Case


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 ontologiescross-pollination of R&D

info

real-world evidence

comorbidity & cohort identification

genomic correlation & derivation

molecular search & similarity

pharma-payer collaboration

outcomes-based contracting

Innovating and streamlining through advanced analytical and semantic approaches.


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 DE 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 CS E A RC 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 NTA 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


Drew Holzapfel, Executive Director


Chris Young – Knowledgent, Life Sciences Partner


• 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

ICD10

EHR Claims Imaging Genomic Trials Behavioral

Exponentially increasing amount of information

Devices


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


Actions Towards Big Data Agenda

Planning & Execution of

Big DataInitiatives

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


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

[email protected] 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)

mailto:[email protected]


Q & A


Thank you for attending!

Tom Johnstone – Managing [email protected]

Chris Young – Life Sciences [email protected]

Drew Holzapfel – Executive [email protected]

Justin Sears – Industry SpecialistTwitter - @jcsears