Big Data - Emerging Opportunities and Challenges

Big Data: Emerging Opportunities and ChallengesVenky Ravirala, Chief Analytics Officer MEDSEEK Sept 24, 2013... Converging R&D6 • Central to this conversation is the Patient/Consumer •

Big Data: Emerging Opportunities and Challenges

Venky Ravirala, Chief Analytics Officer

MEDSEEK

Sept 24, 2013

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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 channel digital media, devices and instruments

multi-• 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 be Winners & 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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Digital Influence

Treatment Well Researching Preparing Evaluating Recovering Maintaining

Entire Person Health Continuum

Mechanisms of Influence

Targeted Content

Compelling Calls

to Action

Predictive Analytics

Precision Marketing Findability

Well Researching Preparing Treatment Recovering Evaluating Maintaining

Entire Person Health Continuum

Advanced Personalization

Any Questions

Before we jump into

Big Data Across Industries?

Big Data Survey Across Industries

TCS surveyed 1,217 companies in nine countries

• 53% Use Big Data; 43%

• 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

• 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

Gartner Magic Quadrants

Gartner Magic Quadrants

Cloudera’s Apache Hadoop

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Who is Cloudera?

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The #1 commercial and non-commercial

Apache Hadoop distribution.

Complete, Integrated Hadoop Stack Who 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

APACHE ZOOKEEPER

APACHE FLUME,

APACHE PIG, APACHE HIVE APACHE OOZIE APACHE OOZIE APACHE HIVE

File System Mount UI Framework 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

Views/Marts

APIs Intranet

Hadoop

Wiki Sharepoint

Kiosks

Data Models /Cubes

BIG DATA = MORE CRUDE

Computer Technology + Info/Data Sciences  Crude Information & Reports

Data Sources Instruments Clickstream Social

Media Mobile CenterCall

Hospital

Data Experian Claims EligibilityMember Disease &Wellness

Data Movement

Data Access Layer

Encounters

Medical Claims

Medical Claims

Call Center Lists

Call Center Lists

Rx Claims

Marketing Lists

Marketing Lists

Hospital Encounters Variance & Trends Episodic

Episodic Variance & Trends Rx Regimen & Gaps

Rx Regimen

& Gaps

Patients Behavior & Propensity

Patients Behavior & Propensity Personalization Advanced

Advanced Personalization Regional Trends

Regional Trends Influence Strategy Responses

Influence Strategy Responses

Intelligent Version of Influence

Navigate Empower

Convert Predict

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

Strategic and Personalized Outreach

PREDICT PLAN AFFECT

Hospital Staff Perspective

• Big Data Analytics will

drive Advanced Personalization

Digital Influence

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Key Challenges Across Industries

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Key Challenges Across Industries

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