big data: emerging opportunities and challenges venky ravirala, chief analytics officer medseek sept...
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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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