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How WellCare Accelerated Big Data Delivery to Improve Analytics

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Every Business is Becoming a Digital Business

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Digital Transformation Imperatives

BIG DATACLOUD PLATFORMAGILE

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The Data Divide

BIG DATACHASM

70%of data

generated by customers

80%of data stored

3%prepared for

analysis

0.5%being

analyzed

<0.5%being

operationalized

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Why Pivotal for Big Data?

Complete platform

SQL on Hadoop leadership

Deployment options

Open source

Flexible licensing

Advanced data services

PIVOTAL DATA ENGINEERING PIVOTAL LABSPIVOTAL DATA SCIENCE

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Attunity - Corporate OverviewOverview

Exchange (Ticker): NASDAQ (ATTU)

Global offices, HQ in: Burlington, MA

Customers: 2000+ in 60 countries

Global Footprint

COOL VENDOR

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Treating Healthcare With Analytics

Challenges

New Provider Accountability

Rising Public Expectations

Too Many Data Platforms,

Including Paper

Opportunities

Mobile & Home Based

Technology

Proven Data Methods From

Other Industries

Better Data Integration Software

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Unmet Data Needs in Healthcare

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To Use Data, You Must Move it!

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Automate Data Warehousing

Integrate Faster Across Platforms

Profile Usage To Optimize Placement

Using Big Data Efficiently

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Where Data Resides

Reporting &Analytics

Where Data Needs to Be

Data Warehouse

& Cloud

Data Sources Analytics Users

Attunity Replicate for Data Integration

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Attunity Replicate Feeds Pivotal Big Data Suite

Full Load & CDC Into PHD/HAWQ via GPFDIST

PIVOTAL DATA ENGINEERING PIVOTAL LABSPIVOTAL DATA SCIENCE

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About WellCare

Leading provider of managed care services targeted to government-sponsored healthcare programs like Medicaid and Medicare, as well as health plans and prescription drug plans

Fortune 500 company (NYCE: WCG) serving approximately 2.8 million members nationwide

Based in Tampa, FL with more than 5,000 employees

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WellCare’s Challenges Needed to enable a big data analytics project across the

enterprise including clinical/member info, demographics, and operational data to fuel decision support

Queries were taking up to 30 days to run and other processes were taking multiple days to run

System use continued to grow which put stress on applications, databases, and performance

In the initial stages of Hadoop implementation

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Goals

Improve analytical capabilities and efficiencies using SAS

Eliminate ETL development effort to improve reporting time

Needed a data loading solution that could move high volumes of heterogeneous data with high performance into Pivotal Greenplum Database

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Results

Attunity Replicate has provided near real-time data feeds that have dramatically improved analytics

Achieved 73% faster reporting

Meeting regulatory requirements which ensures that WellCare gets state and federal funding

Introducing Hadoop Data Lake, estimated to save significant dollars over a three-year period

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To view the recorded webinar, click here.

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