sas insurance analytics architecture

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Copyright © 2012, SAS Institute Inc. All rights reserved. SAS INSURANCE ANALYTICS ARCHITECTURE MORE INFORMATION

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SAS Insurance Analytics Architecture provides insurance carriers with the foundation for implementing an enterprise data warehouse that can provide accurate insight into the business

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Page 1: 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 ANALYTICS ARCHITECTURE

MORE INFORMATION

Page 2: 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 .

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

Page 3: 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 .

“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

Page 4: 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 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

Page 5: 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

Page 6: 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

Page 7: 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

Page 8: 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

• New Business

• Underwriting

• Distribution compensation

• Reinsurance

• Customer service

• Endorsements; Renewals; etc.

• Billing

• Claims settlement

• Financial / General Ledger

• Investments

• Marketing Campaign

Supported business processes

Page 9: 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 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

Page 10: 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 .

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

Page 11: 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 .

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

Page 12: 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 .

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

Page 13: 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 .

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

Page 14: 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: [email protected]

Blog: Analytic Insurer

Twitter: @stuartdrose

• White Papers:

Data is King

Page 15: 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 . www.SAS.com

THANK YOU