Solving the Data Management Challenge for Healthcare

© 2018 Delphix. All Rights Reserved. Private and Confidential.© 2018 Delphix. All Rights Reserved. Private and Confidential.
Delphix | Cognizant Technology Solutions | Molina Healthcare
Solving the Data Management
Challenge for Healthcare

© 2018 Delphix. All Rights Reserved. Private and Confidential.
Enterprise Data is Growing Rapidly
4 ZB In 2015,
30%
of all data
95 ZB in 2025,
60%
of all data
25x
increase of
enterprise data

Top Imperatives for Application Driven Organizations
Time to
Market
Application
Quality
Security and
Compliance
Efficiently managing data is key to these objectives

Massive,
Sprawling Datasets
Increasing
Governance & Risk
Enterprise Silos &
Manual Process
Faster Dev &
Deployment
Increased Cloud
Adoption
4
Data-driven
Decisions

Secure, high-quality data needs
to flow without constraints
DataOps: A New Approach to Data Management
5
Portable Available Secure

Delphix Dynamic Data Platform
Fast. Secure. Everywhere.
Applications
Files
Databases
On-Prem
Cloud
CONNECT
VIRTUALIZE
Sync
Compress
Provision
SECURE
Compliance
Policy
Masking
MANAGE
Distribute
Audit &
Report
Manage
Developer
QA
Analyst
Data
Scientist
APIs
6

• Digital Transformation is occurring at a rapid pace and is a reality across the industry
• The Healthcare market is being disrupted due to evolving consumer and employer
demands, regulatory requirements and rapid evolution in technologies
• Success in this new reality will involve a focus on Continuous Innovation and Flexibility
through agile DataOps with a firm grounding in security and compliance
• Both Providers and Payers are seeking agile solutions to increase application velocity time
to market, improved quality and lower operating costs
The American Healthcare Landscape is Changing

© 2018 Cognizant
© 2018 Cognizant
Data Management and
Digital Transformation

© 2018 Cognizant
Introduction
Anant Hariharan, Head Data Management CoE
• Head, Technology Center of Excellence for Cognizant Quality Engineering & Assurance, North
America (QE&A, NA)
• Organization responsible for strategy, thought leadership and solution offering across the Quality
Engineering and Assurance practice within Cognizant
• QE&A COE spans Non Functional Testing, Security testing, Automation, Test Data Management
CoE and SOA/Service Virtualization CoE teams

© 2018 Cognizant
The Current State of Healthcare Data

© 2018 Cognizant
The Current State of Healthcare Data
Complexity of Data
• Multiple non-production environments are spread over multiple platforms
• Non-production environments are not HIPAA compliant (as they contain PHI)
• Minimal test data coverage in these environments as the production copy encompasses only a small
part (15-20%) of test data scenarios
• Subsetting and synthetic data generations processes are limited or not implemented
• Multitude of external & internal interfaces in different applications (enterprise wide)
• Hosted and Vendor applications share unmasked production data under data sharing agreements
• Data stored in complex file types (like EDI X12, XML, XMLTYPE, BLOB, CLOB)

© 2018 Cognizant
The Current State of Healthcare Data (cont’d)
Cost of Data
• Huge data footprint in the development and QA environments, leading to high storage costs
• Large infrastructure costs to create & maintain separate integrated non-production environments for
QA/UAT/Break-Fix activities
Delays in Data
• Test data refresh cycles happen less frequently due to long and time consuming process
• Huge toll on productivity due to prolonged downtime during environment refresh

© 2018 Cognizant
Healthcare Test Data Management Challenges

© 2018 Cognizant
Test Data Management (TDM) in Healthcare - Challenges
Test Execution
High Execution Effort
60% of test execution effort is spent on test
data identification / creation
Test Data Generation
Complexity in Test data Generation
Complex business rules and CMS
Mandated EDI files for test data generation
PHI Difficulties
Difficulty in handling PHI data
Higher loss because of PHI violation (data
breach)
Not able to offshore few critical LoBs
because of PHI data
Business Process Knowledge
Insufficient EDI / Test Data / Complex
Payer Business Process Knowledge
Testers needs to have appropriate
knowledge to create relevant and in-depth
transactions / data as per test scenarios
Current Tools
No E2E Test data solution from data sub-
setting, data masking, data generation till
data reusability
Emerging Necessity
Need for more Self Serviced Data
Requests and Data Mining
Data Automation
Improvement in unattended data
automation
Reusability
No Centralized repository of test files
Leading to re-creation of transactions which
were created in past / across programs /
CMS mandated compliance

© 2018 Cognizant
Observed TDM Patterns in Healthcare Industry
Typical Healthcare Industry
Data Challenges
Typical TDM Solutions Typical TDM Implementations Typical Key Benefits & ROI
Data Identification Data Mining
• Typically 20% requests received on data
identification only (Group, Member, NDCs,
Pharmacy, Prescriber, Costing, Template &
Claims). Smart utilities / Tools play vital role
Up to 60% effort reduction on Data
Identification effort
Specialized Resourcing Data Governance
• Typically > 80% implementations work with
consolidated team or a Prime partner
• Well defined data capture templates tower wise
with data requests tracked through share point
Efficient Resource Usage
Conflict in Usage Data Reservation
• Affects 100% of Data mining implementations
• Tracking with central governance is a key solution
Upto 100% Assurance of Data
Availability
Unloading Data from Production Load the
Data Into QA Env(s)
Data Refresh • Data refresh across Environment
100% Data Quality due to Monthly
Periodic Refresh
Data Modification and Creation Synthetic Data Creation
• Using front-end Application & Tools
• Bulk Data Creation (Claim / Member / Groups)
through batch jobs / Automation Scripts / TDM
tools
• ~40% Data Generation on Member, Claims, Group
• ~20% Data Generation for NDC, Pharmacy,
Prescriber
100% Data coverage
On schedule & faster time to market
Data Security Issues high Effort to Create
Prod-Like Data
Data Subset & Masking
• On-demand extraction of Members, claims &
Groups
• Plan & Providers see less Masking efforts
• Members typically need high masking effort
• Up to 80% reuse of (masked) production data for
NDC, Pharmacy, Prescriber
• Up to 60% conditioned / modified (masked)
production data for Member, Claims, Group
Planned monthly releases with 100%
Data freshness for QA
Medium Impact High ImpactLow Impact

© 2018 Cognizant
Delphix Helps Meet Industry
Requirements for Test Data

© 2018 Cognizant
Industry Requirements for Test Data
• Strengthen Data Privacy, Governance and Compliance in non-production environments
• Remove data redundancy & reduce storage cost in non-production environments
• Standardize and automate test data provisioning (including masking, generation,
environment refresh etc.)
• Improve test data coverage and data quality across databases in lower regions
• Build and maintain comprehensive gold copy warehouse to make test data available
on demand
• Leverage TDM & Automation tools to improve productivity
• Implement a shift-left approach, such as DevOps, to improve product quality and efficiency

Molina Healthcare Case Study
Extreme Rapid Application Development
and Enterprise Agile

Rick Hopfer
Former Chief Information | Molina Healthcare
Rick is a recognized technology leader with over 25 years’
experience leading large, complex organizations in multiple
industries around the globe. He is the recipient of awards including
2014 CIO of the Year,
he was inducted into the 2017 CIO Hall of Fame and in 2018 was
recognized as an Evanta / Gartner Global Breakaway CIO Leader.

Healthcare Entertainment Insurance Internet
Utilities Finance Retail Publishing

Molina Healthcare
Molina Healthcare, a FORTUNE 500, multi-state health care organization, arranges for the
delivery of health care services and offers health information management solutions to
nearly five million individuals and families who receive their care through Medicaid,
Medicare and other government-funded programs in fifteen states.
2011 – Pre Affordable Care Act (ACA) in the USA (Rick joins Molina)
2017 – Post Affordable Care Act (AC) – 6 years of rapid growth
4X 4X 3X

Business Case
Changes to U.S. healthcare industry resulted in rapid growth for the company and the
need for IT to proactively establish a strategy, architecture, processes and skills to
effectively enable business success.
SPEED
business demands
required speed and
agility
STORAGE
significant projections
for storage requirements
SECURITY
requirements to protect
personal health
information (PHI)
SCALE
metrics expanding
on every
measurement

Why Delphix?
Disruptive Solutions to Enable Growth
Develop and test
with production-
like data
Execute projects
without
regulatory risk
Use personal
environments
Not be slowed
by manual
processesImmediately
access data
Deliver data
in minutes
Manage
hundreds of
copies with
full visibility
Dramatically
reduce storage
overhead
Protect
sensitive data
and centrally
manage
compliance
Manage data
across cloud,
on-premise
and hybrid
environments

Delphix – Return on Investment (ROI)
STORAGE
• Storage requirements reduced from
4-5PB to 300TB
• 6,000 virtual databases supporting
over 500 development, testing,
quality assurance and training
ROI | STORAGE SAVINGS | $6M - $10M USD

SPEED
• Provision new environments from days to minutes
• Production trouble shooting happens in minutes vs. hours/days
• Testing and QA realized significant time savings
• Reduction in application project schedules by as much as 50%
ROI | ESTIMATED LABOR COST AVOIDANCE | $2+M ANNUALLY

SECURITY
• Implemented data masking and encryption
For the 7th straight year, IBM found that healthcare data breach costs average
$380 USD per record, more than 2.5 times the global average across industries.
ROI | ADDITIONAL DATA PROTECTION

SCALE
• Full time Data Base Administrators (DBA) headcount flat over 6 years
From 2011 to 2017, IT Headcount grew from 250 to 500 FTE’s (plus 1,000+
consultants). In that same timeframe, DBA headcount remained constant.
ROI | ESTIMATED DBA LABOR COST AVOIDANCE | $600K USD ANNUALLY

Conclusion
Partnering with Delphix and leveraging their data
focused solutions significantly improved IT’s ability
to rapidly deliver applications across the enterprise
efficiently, effectively, and securely at scale.

Benefits: Delphix for Data Management in Healthcare
30
ACCELERATE
testing cycles
Improve application
QUALITY
Ensure
SECURITY
and compliance
• Automatically mask sensitive information in test data
• Ensure security of data before distribution to target environments
• 100% adherence to data privacy & governance
• Reduce testing and release cycle times by 30 to 50%
• Immediately eliminate wait time for test data
• Give testers self-service control to refresh, rewind, share, and branch data
• Improve release quality – 80% fewer bugs hit production
• Find and resolve bugs earlier in the overall SDLC
• Use high-quality data to drive more productive test cycles

Delphix for Healthcare

Some Delphix TriZetto Customers
Cognizant
Technology
Solutions
QNXT
TranZform
QicLink
TriZetto
Provider
Solutions
NetworX
Facets
Care
Solutions
TriZetto
Elements

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Solving the Data Management Challenge for Healthcare

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