Big Data is changing our lives, discuss what interactions you have on a daily basis with this technology. Introduction to MapR India’s Aadhaar project This is an unusual Hadoop-based project that is changing society in fundamental ways. How do you identify every person in India, uniquely and reliably—all 1.2 billion of them. United Health Group Customer will be trying to bring in new data sources to enable them to become a platform based business where IT works for the business and doesn’t dictate the art of the possible. From here I will describe how UHG changed their business. Decisions That Drive Successful Hadoop Projects What are the decisions that drive successful Hadoop projects?

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Where Big Data has an intersection with
everyday lives

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Simple Agenda: Two use cases that improve lives

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• Largest healthcare insurer in the world
• 200,000 employees
• Billions of $ shifted to needier claimants

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Member / Call Center / Web
Traffic
Members / Plans / Call Center
Providers
Govt. / Vital Stats
Health Records
Claims
Big Data Platform
as a Service
Hospitals

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Results
Big Data as a Platform is a foundation for agile investigations and decision making
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ROI: Generating $22 for every $1 in
Big Data / Advanced Technology investment
Implemented multiple
predictive models
Identifying thousands of high
risk providers and claims
Generating significant
incremental savings to
enhance affordability initiatives
Operational Savings: Build
Predictive
Analytics Factory

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• World’s largest national ID project
• Over 1 billion IDs already issued
• Tens of millions now have access to benefits

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Everyone needs an identity

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 Approximately 20 % reduction in fraud and leakage of govt aid programs($50B)
 Average citizen’s life is transformed as they can get access to various stipulated benefits
 645 million citizens currently enrolled providing identity for approx. 60% of the population
World’s Largest Biometric Database
South Asian country creates biometric backed identification system for all citizens
• Increase % of citizens who have bank accounts and can access benefits
• Reduce corruption and fraud in government aid programs
• Issues with data replication and loss across clusters in competing distribution
• Weak disaster recovery strategy in competitive distribution
• Complicated upgrade process and high availability issues
• Complete data backup: Snapshots and mirroring
• Lower maintenance overhead: Rolling upgrades
• Fingerprints and retina scans with 200 millisecond response: MapR-DB
OBJECTIVES
CHALLENGES
SOLUTION
Business
Impact

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Thank you!