The business and technology teams within a health insurer must align the company’s central data platform with its data strategy. That requires substantial organizational alignment. Hear the firsthand perspective from Health Care Service Corporation (HCSC), the largest customer-owned health insurance company in the United States. The speaker will cover how they integrated membership information, regulatory compliance, and the general ledger, to improve overall healthcare management. At HCSC, the strong alignment between executive leadership, business portfolio direction, architectural strategy, technology delivery, and program management have helped create leading-edge capabilities which help the company respond nimbly to a quickly evolving healthcare industry.

1. Health Care Service Corporation, a Mutual Legal Reserve Company
It Takes A Village: Organizational
Alignment to Deliver Big Data Analytics in
Healthcare
Andy Ashta
Executive Director, Information Architecture and Data Management
Health Care Service Corporation

2. 230.8million
claims processed annually
15millionmembers
including ~8.2 million in
Illinois
Operating plans in
FIVE states: IL,
MT, NM, OK, TX
LARGEST customer-owned
health insurer in the U.S. and 4th
largest overall
Over
21,000employees
#6on Diversity MBA’s 50 Out Front for
Diversity Leadership Best Places to Work
for Women & Diverse Managers
More than 16million sign-ons
through our member access tool,
along with 293,000 Facebook
members and 46,000 Twitter
followers
More than 2.5million
children served through the
Healthy Kids Healthy
Families® initiative in 2016
Employees logged more than
110,000 hours of
direct, hands-on volunteerism
in 2016
Answered
8.6million calls
per year from service
providers
13.6million
member phone calls
per year
Answered 69.1%of
member inquiries during
the first phone call
WHO ARE WE?

3. ABOUT ME
Executive Director,
Information Architecture & Data Management
@andyashta
Andy Ashta
Industries:
Financial Services, Healthcare, Digital, Publishing
Roles:
Data Development, Business Intelligence, Data Architecture, Application Development
Andy Ashta

4. CHANGING DATA WAVE
4
User time frames and expectations have changed

5. CHANGING DATA WAVE
5
Data volumes have challenged technology approaches

6. CHANGING DATA WAVE
6
Analytics users are doing a variety of different things with
data

7. CHANGING DATA WAVE
7
Absence of Data Integration

8. DATA STRATEGY
How do I introduce and expand it within my enterprise?
8
Know the value of Big Data technologies

9. INTRODUCE BIG DATA THROUGH USE CASES
9
Start with use case
HADOOP
HADOOP
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HADOOP

10. INTRODUCE BIG DATA THROUGH USE CASES
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Perpetuates same data integration problems

11. PLANNED ENTERPRISE ADOPTION
11
Hadoop is methodically planned and executed
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12. PLANNED ENTERPRISE ADOPTION
12
Enterprise platform such as Hadoop requires planning
Year 1
• Data Governance
• Data Security
• Data Access
• Infrastructure
Year 2
• Reference Data
• Master Data
• Transactional
Data, e.g. Order
Year 3
• Transactional
Data, e.g.
Invoices

13. STRATEGY COMPARISON
13
Enterprise Program
• Focus on ingestion
• Reduces data fragmentation
• Orderly, planned. Maximizes
technology investment
• Requires significant enterprise
planning and prioritization
• Long duration until strong ROI
is achieved
Use Cases
• Focus on consumption
• Faster time to market
• Straightforward ROI and
investment plan
• Complicates data platform
retirement and technical debt
reduction
• Extends data fragmentation

14. S
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STRATEGIC INTEGRATION BIG DATA
14
Hadoop is introduced at
the beginning of
ingestion
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15. BENEFITS OF A MODERN DATA ARCHITECTURE
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Strategic Benefits
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16. BENEFITS OF A MODERN DATA ARCHITECTURE
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Ubiquitous Data Assets
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17. BENEFITS OF A MODERN DATA ARCHITECTURE
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Low Latency Data
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18. BENEFITS OF A MODERN DATA ARCHITECTURE
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Reduce Excess Capacity
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19. BENEFITS OF A MODERN DATA ARCHITECTURE
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Organic Data Maturity
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• Discovery occurs in
Hadoop
• Mature data and metrics
are loaded into the data
warehouse

20. STRATEGY COMPARISON
20
Enterprise Program
• Focus on Ingestion
• Reduces data fragmentation
• Orderly, planned. Maximizes
technology investment
• Requires significant enterprise
planning and prioritization
• Long duration until strong ROI
is achieved
Use Case
• Focus on Consumption
• Faster time to market
• Straightforward ROI
and investment plan
• Complicates data
platform retirement
and technical debt
reduction
• Extends data
fragmentation
Business Program
• Provide low-latency
capability
• Exposes broad data
insights
• Analytics on volume
and scale
• Reduces data
fragmentation
• Requires significant
enterprise planning
and prioritization

21. CREATING THE VILLAGE
21
Profound Organizational Alignment is Required
Tactical
Technology
Focused
Functionally
Focused
Strategic
Executive
Technology
Leadership
Executive
Enterprise
Leadership
Enterprise
Information
Management
Functional
Alignment
Aligned
Engineering
Processes
Investment

22. CREATING THE VILLAGE
• Executive Technology
Leadership (CIO)
• Executive Enterprise
Leadership (CEO)
22
Executive Leadership
Technology
Focused
Functionally
Focused

23. CREATING THE VILLAGE
• Enterprise Information
Management
• Functionally aligned
Technology organizations
23
Strategy and Alignment
Technology
Focused
Functionally
Focused
Source: New IT Operating Model for Digital, CEB Global (Gartner)
Source: http://blogs.gartner.com/nick-heudecker/big-data-challenges-move-from-
tech-to-the-organization/

24. CREATING THE VILLAGE
• Iterative processes that
effectively deliver
solutions
• Desire and ability to
fund solutions
24
Execution
Technology
Focused
Functionally
Focused

25. STRATEGY COMPARISON
25
Enterprise Program
• Focus on Ingestion
Use Case
• Focus on Consumption
Business Program
• Focus on continuous
functional capabilities

26. 26
Questions?