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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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