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Copyr i g ht © 2012, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
SAS INSURANCE ANALYTICS ARCHITECTURE
MORE INFORMATION
Copyr i g ht © 2012, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
ANALYTICS IN
INSURANCE CHALLENGES
Silo and inaccessible data Slow to respond
ISSUE IMPACT
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
Lack of adequate data governance Regulatory non-
compliance
Copyr i g ht © 2012, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
“Several avenues of opportunity for technology impact are now
open, but predictive analytics is one of the most compelling.” Insurance and 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
“Leveraging analytics technology in areas outside the realms of
underwriting and actuarial science is an inevitable and desirable
trend.” Insurance & Technology
Copyr i g ht © 2012, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
Data integration technologies
Data quality tools
Business intelligence technologies
Physical and logical data models
Data dictionary
Business Analytics
Framework Industry IP
SAS® Insurance Analytics
Architecture
A solution for serving insurers business intelligence
and analytical requirements
SAS INSURANCE ANALYTICS ARCHITECTURE
Copyr i g ht © 2012, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
Data
Integration
& Data
Quality
Insurance
Data
Model
Reporting
&
Analytical
Data Marts
Executive
Dashboards
Reports Business,
regulatory
reporting
Model
validation
Insurance
Operational
Systems
Policy
Sales &
Marketing
Billing
Claims
Products
(P&C & Life)
Reinsurance
Policies Marketing
Claims Risk Factors
Customers Accounting
… …
SAS INSURANCE ANALYTICS ARCHITECTURE
Copyr i g ht © 2012, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
SAS INSURANCE
DATA MODEL SAS INSURANCE ANALYTICS ARCHITECTURE
Copyr i g ht © 2012, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
SAS INSURANCE
DATA MODEL SAS INSURANCE ANALYTICS ARCHITECTURE
• 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
Copyr i g ht © 2012, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
SAS INSURANCE
DATA MODEL SAS INSURANCE ANALYTICS ARCHITECTURE
• New Business
• Underwriting
• Distribution compensation
• Reinsurance
• Customer service
• Endorsements; Renewals; etc.
• Billing
• Claims settlement
• Financial / General Ledger
• Investments
• Marketing Campaign
Supported business processes
Copyr i g ht © 2012, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
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
Copyr i g ht © 2012, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
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
Copyr i g ht © 2012, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
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
Copyr i g ht © 2012, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
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
Copyr i g ht © 2012, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
CUSTOMER STORY AEGON (UK)
Customer Quote
SAS lets us work faster and smarter. More and more people are requesting access: SAS is a fundamental building block for what to achieve as the business moves forward.
Charles Ewing Manager, Finance Business Solutions
Business Problem
• Drive a ‘sea of change’ in systems and culture
• Create a single view of business
• Enable staff to work more efficiently and accurately
• Address data security and data quality issues
Results
• Measurable efficiency gains plus cost savings
• Processing times improved by up to 60x
• Mainframe usage reduced by 9%
• Rapid ROI
Solution
• SAS Insurance Analytics Architecture
Copyr i g ht © 2012, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
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
Copyr i g ht © 2012, SAS Ins t i tu t e Inc . A l l r ights reser ve d . www.SAS.com
THANK YOU