1.
SAS INSURANCE ANALYTICS ARCHITECTURE
MORE INFORMATION
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2.
ANALYTICS IN
CHALLENGES
INSURANCE
ISSUE IMPACT
Silo and inaccessible data Slow to respond
Incomplete data & data inconsistencies Poor customer service
Manual data preparation Loss of productivity
Poor data quality Loss of insight
Unreliable and inaccurate reporting Poor business decisions
Regulatory non-
Lack of adequate data governance compliance
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3.
“Several avenues of opportunity for technology impact are now
open, but predictive analytics is one of the most compelling.”
Insurance and Technology
“Leveraging analytics technology in areas outside the realms of
underwriting and actuarial science is an inevitable and desirable
trend.” Insurance & Technology
“Insurers across the board are investing in business intelligence and
predictive analytics to improve underwriting, claims, marketing and
even internal operations.” Insurance Networking News
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4.
SAS INSURANCE ANALYTICS ARCHITECTURE
A solution for serving insurers business intelligence
and analytical requirements
SAS® Insurance Analytics
Architecture
Business Analytics Industry IP
Framework
 Data integration technologies  Physical and logical data
models
 Data quality tools
 Data dictionary
 Business intelligence
technologies
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5.
SAS INSURANCE ANALYTICS ARCHITECTURE
Insurance
Operational
Systems
Policy Executive
Dashboards
Data Reporting
Insurance
Integration &
Claims Data
& Data Analytical
Model
Quality Data Marts
Reports
Business,
regulatory
Billing Products Reinsurance reporting
(P&C & Life) Model
Policies Marketing validation
Claims Risk Factors
Customers Accounting
Sales &
Marketing … …
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6.
SAS INSURANCE
SAS INSURANCE ANALYTICS ARCHITECTURE
DATA MODEL
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7.
SAS INSURANCE
SAS INSURANCE ANALYTICS ARCHITECTURE
DATA MODEL
• Single version of the truth
• A warehouse for granular, historical and integrated data
• Comprehensive coverage to support a variety of analytical
applications
• Approx. 440 Tables and 6,300 Attributes
• Model supports both P&C and Life Insurance
• Both logical and physical data model
• Erwin data models
• SAS metadata
• DDL scripts for database environments (DB2, Oracle, Teradata)
• Mapping of data items to business terms
• Aligns with global data standards like ACORD and GDV
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8.
SAS INSURANCE
SAS INSURANCE ANALYTICS ARCHITECTURE
DATA MODEL
Supported business processes
• New Business
• Underwriting
• Distribution compensation
• Reinsurance
• Customer service
• Endorsements; Renewals; etc.
• Billing
• Claims settlement
• Financial / General Ledger
• Investments
• Marketing Campaign
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9.
DATA MANAGEMENT SAS INSURANCE ANALYTICS ARCHITECTURE
• Enterprise data management environment
• ETL technologies
• Data profiling capabilities
• Enterprise connectivity to data sources
• SAS, SQL, DB2, Access, Excel, Oracle, Teradata......
• Data quality business rules
• Support for unstructured and semi-structured data
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10.
REPORTING SAS INSURANCE ANALYTICS ARCHITECTURE
• Empower users to make better business decisions faster
• Web-based, interactive reporting interface
• Query capabilities across multiple BI interfaces
• Slice and dice multidimensional data
• Critical first-alert, call-to-action dashboards for performance
results
• Dynamic business visualization tools
• Microsoft Office integration
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11.
WHY SAS? KEY BENEFITS
• Consistent, accurate, verifiable and up-to-date information
• Access to the data you need, when you need it
• Single solution that eliminates overlapping, redundant tools and
systems
• Complete, integrated view of all enterprise data
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12.
WHY SAS? LOWER COST OF OWNERSHIP
• Insurance data model
• Jump start reporting capabilities with insurance specific logical &
physical data models
• Superior data management capabilities
• Single version of the truth
• Improved data quality
• Award winning business intelligence technology
• Portal framework for scorecarding & dashboards
• Access to online reports with drill-down capabilities
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13.
CUSTOMER STORY AEGON (UK)
Customer Quote Business Problem
• Drive a ‘sea of change’ in systems and culture
SAS lets us work • Create a single view of business
faster and smarter. • Enable staff to work more efficiently and accurately
More and more • Address data security and data quality issues
people are
requesting access:
SAS is a
fundamental Solution
building block for
what to achieve as • SAS Insurance Analytics Architecture
the business
moves forward.
Results
Charles Ewing
Manager, Finance • Measurable efficiency gains plus cost savings
Business Solutions • Processing times improved by up to 60x
• Mainframe usage reduced by 9%
• Rapid ROI
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14.
MORE
INFORMATION
• Contact information:
Stuart Rose, SAS Global Insurance Marketing Director
e-mail: Stuart.rose@sas.com
Blog: Analytic Insurer
Twitter: @stuartdrose
• White Papers:
Data is King
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15.
THANK YOU
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