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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
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?
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
CHANGING DATA WAVE
4
User time frames and expectations have changed
CHANGING DATA WAVE
5
Data volumes have challenged technology approaches
CHANGING DATA WAVE
6
Analytics users are doing a variety of different things with
data
CHANGING DATA WAVE
7
Absence of Data Integration
DATA STRATEGY
How do I introduce and expand it within my enterprise?
8
Know the value of Big Data technologies
INTRODUCE BIG DATA THROUGH USE CASES
9
Start with use case
HADOOP
HADOOP
SOURCE
SOURCE
SOURCE
ODS
EDW
DM
DM
DM
APP APP APP APP APP APP
STAGE STAGE STAGE STAGE STAGE STAGE
S
T
A
G
E
S
T
A
G
E
S
T
A
G
E
S
T
A
G
E
S
T
A
G
E
SOURCE
HADOOP
INTRODUCE BIG DATA THROUGH USE CASES
10
Perpetuates same data integration problems
PLANNED ENTERPRISE ADOPTION
11
Hadoop is methodically planned and executed
H
A
D
O
O
P
SOURCE
SOURCE
SOURCE
ODS
EDW
DM
DM
DM
APP APP APP APP APP APP
STAGE STAGE STAGE STAGE STAGE STAGE
S
T
A
G
E
S
T
A
G
E
S
T
A
G
E
S
T
A
G
E
S
T
A
G
E
SOURCE
H
A
D
O
O
P
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
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
S
T
A
G
E
S
T
A
G
E
STRATEGIC INTEGRATION BIG DATA
14
Hadoop is introduced at
the beginning of
ingestion
SOURCE
SOURCE
SOURCE
ODS
EDW
DM
DM
DM
APP APP APP APP APP APP
STAGE STAGE STAGE STAGE STAGE STAGE
S
T
A
G
E
S
T
A
G
E
S
T
A
G
E
SOURCE
H
A
D
O
O
P
ODS
EDW
DM
DM
BENEFITS OF A MODERN DATA ARCHITECTURE
15
Strategic Benefits
SOURCE
SOURCE
SOURCE
APP APP APP APP APP APP
STAGE STAGE STAGE STAGE STAGE STAGE
S
T
A
G
E
S
T
A
G
E
SOURCE
H
A
D
O
O
P
ODS
EDW
DM
DM
BENEFITS OF A MODERN DATA ARCHITECTURE
16
Ubiquitous Data Assets
SOURCE
SOURCE
SOURCE
APP APP APP APP APP APP
STAGE STAGE STAGE STAGE STAGE STAGE
S
T
A
G
E
S
T
A
G
E
SOURCE
H
A
D
O
O
P
ODS
EDW
DM
DM
BENEFITS OF A MODERN DATA ARCHITECTURE
17
Low Latency Data
SOURCE
SOURCE
SOURCE
APP APP APP APP APP APP
STAGE STAGE STAGE STAGE STAGE STAGE
S
T
A
G
E
S
T
A
G
E
SOURCE
H
A
D
O
O
P
ODS
EDW
DM
DM
BENEFITS OF A MODERN DATA ARCHITECTURE
18
Reduce Excess Capacity
SOURCE
SOURCE
SOURCE
APP APP APP APP APP APP
STAGE STAGE STAGE STAGE STAGE STAGE
S
T
A
G
E
S
T
A
G
E
SOURCE
H
A
D
O
O
P
ODS
EDW
DM
DM
BENEFITS OF A MODERN DATA ARCHITECTURE
19
Organic Data Maturity
SOURCE
SOURCE
SOURCE
APP APP APP APP APP APP
STAGE STAGE STAGE STAGE STAGE STAGE
S
T
A
G
E
S
T
A
G
E
SOURCE
H
A
D
O
O
P
ODS
EDW
DM
DM
• Discovery occurs in
Hadoop
• Mature data and metrics
are loaded into the data
warehouse
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
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
CREATING THE VILLAGE
• Executive Technology
Leadership (CIO)
• Executive Enterprise
Leadership (CEO)
22
Executive Leadership
Technology
Focused
Functionally
Focused
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/
CREATING THE VILLAGE
• Iterative processes that
effectively deliver
solutions
• Desire and ability to
fund solutions
24
Execution
Technology
Focused
Functionally
Focused
STRATEGY COMPARISON
25
Enterprise Program
• Focus on Ingestion
Use Case
• Focus on Consumption
Business Program
• Focus on continuous
functional capabilities
26
Questions?

More Related Content

It Takes a Village: Organizational Alignment to Deliver Big Data Value in Health Insurance

  • 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 SOURCE SOURCE SOURCE ODS EDW DM DM DM APP APP APP APP APP APP STAGE STAGE STAGE STAGE STAGE STAGE S T A G E S T A G E S T A G E S T A G E S T A G E SOURCE HADOOP
  • 10. INTRODUCE BIG DATA THROUGH USE CASES 10 Perpetuates same data integration problems
  • 11. PLANNED ENTERPRISE ADOPTION 11 Hadoop is methodically planned and executed H A D O O P SOURCE SOURCE SOURCE ODS EDW DM DM DM APP APP APP APP APP APP STAGE STAGE STAGE STAGE STAGE STAGE S T A G E S T A G E S T A G E S T A G E S T A G E SOURCE H A D O O P
  • 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 T A G E S T A G E STRATEGIC INTEGRATION BIG DATA 14 Hadoop is introduced at the beginning of ingestion SOURCE SOURCE SOURCE ODS EDW DM DM DM APP APP APP APP APP APP STAGE STAGE STAGE STAGE STAGE STAGE S T A G E S T A G E S T A G E SOURCE H A D O O P ODS EDW DM DM
  • 15. BENEFITS OF A MODERN DATA ARCHITECTURE 15 Strategic Benefits SOURCE SOURCE SOURCE APP APP APP APP APP APP STAGE STAGE STAGE STAGE STAGE STAGE S T A G E S T A G E SOURCE H A D O O P ODS EDW DM DM
  • 16. BENEFITS OF A MODERN DATA ARCHITECTURE 16 Ubiquitous Data Assets SOURCE SOURCE SOURCE APP APP APP APP APP APP STAGE STAGE STAGE STAGE STAGE STAGE S T A G E S T A G E SOURCE H A D O O P ODS EDW DM DM
  • 17. BENEFITS OF A MODERN DATA ARCHITECTURE 17 Low Latency Data SOURCE SOURCE SOURCE APP APP APP APP APP APP STAGE STAGE STAGE STAGE STAGE STAGE S T A G E S T A G E SOURCE H A D O O P ODS EDW DM DM
  • 18. BENEFITS OF A MODERN DATA ARCHITECTURE 18 Reduce Excess Capacity SOURCE SOURCE SOURCE APP APP APP APP APP APP STAGE STAGE STAGE STAGE STAGE STAGE S T A G E S T A G E SOURCE H A D O O P ODS EDW DM DM
  • 19. BENEFITS OF A MODERN DATA ARCHITECTURE 19 Organic Data Maturity SOURCE SOURCE SOURCE APP APP APP APP APP APP STAGE STAGE STAGE STAGE STAGE STAGE S T A G E S T A G E SOURCE H A D O O P ODS EDW DM DM • 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