Big Data: Emerging Opportunities and Challenges Venky Ravirala, Chief Analytics Officer MEDSEEK Sept...

Big Data: Emerging Opportunities and ChallengesVenky Ravirala, Chief Analytics OfficerMEDSEEK

Sept 24, 2013

Outline

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• Big Data: Motivating with Healthcare Situation• Three Converging Market Drivers• So What, Now What?• Big Data Survey Across Industries• Recommendations for Getting Started• Key Solution Providers: Platform, BI & Analytics• Venky’s Analytics ecoSystem Vision for MEDSEEK• A few broad Use Cases• Appendix: Key Challenges Across Industries

Healthcare Top-of-Mind Concerns

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Reforms & Regulation Costs & Risk(who pays and for what)

Converging Market Drivers

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R&D (% of Total Spend)

Digital Growth created Big Data

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http://practicalanalytics.files.wordpress.com/2012/01/datagrowth.png

Converging R&D

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• Central to this conversation is the Patient/Consumer

• Consumption ripples to multi-channel digital media, devices and instruments

• Innovation is amplified with Big Data & Analytic Insights

Market Disruptions are Shifting Risk

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• Irrespective of the payment model, hospitals will increasingly be evaluated and paid for by what occurs "Beyond the Four Walls"

• Just like Wall Street, Healthcare is magnifying the financial risk

• There are going to beWinners & Losers!

So What, Now What?

How do I get started?

“Art of the Possible”

Managing Healthcare Outcomes

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Treatment

Managing Patient Outcomes

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DigitalInfluence

TreatmentWell Researching Preparing RecoveringEvaluating Maintaining

Entire Person Health Continuum

Mechanisms of Influence

Targeted Content

Compelling Calls to Action

Predictive Analytics

PrecisionMarketing

Findability

Self-ManagementTools

Collaborative Interactions

Behavioral Insights

Well Researching Preparing Treatment Recovering Evaluating Maintaining

Entire Person Health Continuum

Advanced Personalization

Any QuestionsBefore we jump into

Big Data Across Industries?

Big Data Survey Across IndustriesTCS surveyed 1,217 companies in nine countries

• 53% Use Big Data; 43% Projected > 25% ROI

• 15% > $100 M; 7% > $500M; 25% < $2.5M

• Sales (15.2%), Marketing (15.0%), Customer Service (13.3%) and R&D (11.3%); 24% Non-Rev (HR, Fin….)

• 50% is unstructured; 70% is internal source

• Top Use Cases: Improving customers’ offline experience and marketing using location

• Internet and Mobile companies focus on behavior

• Monitoring and Security are big operations

• Big Data Analytics is typically a separate core group function

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Recommendations for Getting Started• Understand the “Art of the

Possible” beyond status quo• Define 3 business specific

use cases that create value• Scope both internal and

external data sources & 3Vs• Assess suitable

technologies, select 2 options and prove the concept through ROI

• Achieve organizational understanding and work from a roadmap

• Expand the talent pool: IT, Data Scientists, Analytics, Business SMEs & Champions

• Ensure adoption concerns are addressed: Data quality, privacy, security etc., and organizational roles & responsibilities

• Fail often and early to allow learning and innovation within technology, analytics, adoption, and organization

• Make Analytics a separate core group function to focus on deriving Insights and proving ROI

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Gartner Magic Quadrants

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Cloud Infrastructure as a Service

Do not build your own hardware racks for large-scale data. Consider Cloud, including emerging MSFT Azure

Gartner Magic Quadrants

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Data Integration Platforms

Data Management and ETL is not going away. Unstructured to semi-structured and structured ETL is still necessary.

Gartner Magic Quadrants

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BI & Analytics Platforms

Meta-data driven dimensional modeling (semi-structured and structured data), visualization, and predictive analytics are a necessity.

Cloudera’s Apache Hadoop

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Who is Cloudera?

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The #1 commercial and non-commercialApache Hadoop distribution.

Complete, Integrated Hadoop StackWho is Cloudera?

Helps organizations profit from all their data

Largest contributor to Hadoop ecosystem

Provides the most widely used open source

distribution

Develops the most sophisticated Hadoop

operations software

Supports mission critical Hadoop clusters

Trained the largest number of Hadoop

Developers and Administrators Coordination

Data Integration

Fast Read/Write

Access

Languages / Compilers

Workflow Scheduling Metadata

APACHE ZOOKEEPER

APACHE FLUME, APACHE SQOOP APACHE HBASE

APACHE PIG, APACHE HIVE

APACHE OOZIE APACHE OOZIE APACHE HIVE

File System Mount UI Framework SDKFUSE-DFS HUE HUE SDK

©2011 Cloudera, Inc. All Rights Reserved. Confidential. Reproduction or redistribution without written permission is prohibited.

Specialized Analytics Vendors

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Analytics ecoSystem Vision

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IT &

Data

Syste

ms

Analy

tics

AdaptersMeta Data Services Web Services

Mobile &Social MediaViews/Marts

APIsIntranet

Hadoop

WikiSharepoint

.Net/Java

SAS/R Visualization

ETL OptimizationWorkflow

Unstructured DataEDWSource System DBs

Diagnostics & Quality

Exec DashboardsPortals & Kiosks

Data Models/Cubes

Reports

BI & Analyses

Scenarios & StrategySimulations

Statistical Models OptimizationModels

Tests

Biz Apps

Decision Support & Strategy

Analytics Designs+ Decision Sciences Strategy & Decisions

BIG DATA = MORE CRUDE

Computer Technology + Info/Data Sciences

Crude Information & Reports

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MEDSEEK Analytics Cloud & PortalsMEDSEEK Analytics Cloud & Portals

Enterprise Data Model

PDW with MDM

AnalyticModels Layer

Data Sources Instruments ClickstreamSocialMedia

Mobile Call Center

HospitalData Experian Claims

MemberEligibility

Disease &Wellness

Data Movement

Data Access Layer

EncountersEncounters

Medical Claims

Medical Claims

Call CenterLists

Call CenterLists

Rx ClaimsRx Claims

Marketing Lists

Marketing Lists

Lab ClaimsLab Claims

CampaignsCampaigns

PatientsPatients

EligibilityEligibility

ProspectsProspects

InsightsLayer

Hospital Encounters

Hospital Encounters

EpisodicVariance & Trends

EpisodicVariance & Trends

Rx Regimen& Gaps

Rx Regimen& Gaps

PatientsBehavior & Propensity

PatientsBehavior & Propensity

AdvancedPersonalization

AdvancedPersonalization

RegionalTrends

RegionalTrends

Influence StrategyResponses

Influence StrategyResponses

Intelligent Version of InfluenceNavigateEmpowerConvertPredict

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Marts/Cubes

Reports

Portal/Kiosks

Biz Apps

Dashboards

BI & Analyses

EDW Unstructured Big Data

IntegratedMarketing

Decision Support & Stra

tegyAnalytics Progression Plan

A few broad Uses Cases

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• Needle in the Hay Stack (Search for Nuggets)• 360-View for holistic assessments (Wallet Share)• Mine the relationships and patterns (Amazon,

Genetic Factors for Diseases)• Exceptions and Outliers (Fraud, Security)• Advanced Predictive & Optimization Analytics

(Marketing Mix, Portfolio Risk, …..)

360-View + Search + Patterns……

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Medication Non-Adherence Impact

http://viewer.zmags.com/publication/644753a2#/644753a2/25

Relationships & Risk Modeling

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Hospital Readmission Risk

JAMA. 2011;306(15):1688-1698. doi:10.1001/jama.2011.1515

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Strategic and Personalized OutreachStrategic and Personalized Outreach

PREDICTPREDICT

PLANPLAN

AFFECTAFFECT

Hospital Staff Perspective

In Conclusion

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• Three Converging Market Drivers will cause Massive Disruption

• Healthcare will go beyond managing patients within four walls to Influencing Health Continuum

• Big Data Analytics will drive Advanced Personalization

DigitalInfluence

Appendix

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Key Challenges Across Industries

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Key Challenges Across Industries

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