The document outlines the Solvency II framework aimed at harmonizing European insurance regulation and establishing capital requirements to mitigate insolvency risk. It discusses the three pillars of Solvency II: quantitative, qualitative, and market discipline, detailing the compliance challenges and the solution offered by SAS for effective data management, risk quantification, and reporting. SAS’s end-to-end solution provides a flexible infrastructure that integrates existing tools, ensures data quality, and meets regulatory compliance requirements.

1. IMPLEMENTING SOLVENCY II
MORE INFORMATION
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2. AGENDA
1. Solvency II Objectives
2. Business & IT requirements
3. SAS Offering
4. Value & Benefits
5. Customer Successes
6. Why SAS?
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3. SOLVENCY II COMPLIANCE
Solvency II
Framework Directive issued November 25th, 2009
Implementation Date January 1st, 2014
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4. SOLVENCY II REGULATORY GOALS
Definition
 EU Directive that codifies and harmonizes the European
insurance regulation. Primarily this concerns the amount
of capital that insurance companies must hold to reduce
the risk of insolvency
Objectives
 To deepen integration of the European insurance
market
 To improve the international competitiveness of
European insurance and reinsurance companies
 To promote better regulation through a principle-based
and risk sensitive solvency regime
 To align capital requirements to a company‘s risk profile
 To increase protection of policyholders and beneficiaries
 To install risk awareness into governance, operations
and decision making
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5. SOLVENCY II CHALLENGING TIMES
 Flexibility and future developments to be considered
 Excel-based implementations are not Solvency II compliant
 Solvency II timelines
from 2014 (?) on: meeting regulatory
reporting requirements in their entirety
2008 2009 2010 2011 2012 2013 2014
Level Framework Directive
Level 2 Implementing measures
Level 3 Transition into local law
Level 4 Harmonisation of regulation
QIS QIS 4 QIS 4.5 QIS 5
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6. SOLVENCY II THE THREE PILLARS
Solvency II
1 Quantitative 2 Qualitative Requirements 3 Market discipline and
Requirements and Regulation transparency
Approach
Free Assets
Market Risk
Decision Making
Market Value of Assets
Capital Default Risk and Strategy
Requirement
(SCR/MCR) Operational Risk Risk Identification
and Assessment
Underwriting Risk
Reporting
Technical and Monitoring
Risk
Provisions
Mitigation
and Control
 Group-wide Reporting
 Standard Model Approach  ORSA Process  External & Internal Reporting
 Internal Models  Risk Management Processes Requirements
 Group Solvability  Risk Governance, Compliance  SFCR, RSR, QRT
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7. AGENDA
1. Solvency II Objectives
2. Business & IT requirements
3. SAS Offering
4. Value & Benefits
5. Customer Successes
6. Why SAS?
C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .

8. DATA MANAGEMENT & SOFTWARE REGULATORY
SOLVENCY II
REQUIREMENTS
Historized Auditability
Solvency II
Data
Management Governance,
Data Quality,
Documentation,
Data Models Traceability
and
Processes
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9. DATA MANAGEMENT & DATA QUALITY REGULATORY
SOLVENCY II
REQUIREMENTS
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10. SOLVENCY II PROJECT CHALLENGES
 Establish a Solvency II Process and IT infrastructure, that fulfills all regulator requirements. Including:
Application completeness of IT processes, auditability and documentation
Infrastructure
 Integration with existing 3rd party actuarial modelling tools (e.g. Prophet, Igloo, …)
Standard Model  Data Management including development of required data marts
Approach  Capital requirement calculation according to the standard model approach for all branches an all risk
Solvency II Topics
 Regulatory reports for solo entities and at group level (QRT)
Reporting  Consideration of all the methodological aspects modelled
 Ability to analyze data marts for internal requirements (Risk Controlling)
 Integration of internal model processes (Life, P&C)
Branches &  Capital calculations according to the standard model approach
Subsidiaries  Group aggregation for all subsidiaries
 Upgradeable and scaleable for future requirements
Solution  Configurable and flexible for future changes in regulatory requirements, e.g. Reporting
Architecture
 Historized and version controlled Solvency II Data and Model Management
Data  Data Models and processes
Management
 Risk Governance
Auditability  Auditability
 Data Quality, Documentation, Traceability
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11. AGENDA
1. Solvency II Objectives
2. Business & IT requirements
3. SAS Offering
4. Value & Benefits
5. Customer Successes
6. Why SAS?
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12. SAS FOR SOLVENCY II END-TO-END INFRASTRUCTURE
Data Management Risk Quantification Reporting
Health Group Risk Assessment Internal Reporting
Market (Group Aggregation)
Incl. Counterparty default risks, For the ability of
Life operational risks managing simulations,
Historized and other risks models and predictions
P&C
Solvency II SCR - Internal model approach
Data Management
SCR – Standard model approach External Reporting
Data Models
Health Group Risk Assessment
and processes (Group Aggregation)
for Regulatory Purpose and
Market Public Disclosure
Incl. Counterparty default risks, (QRT-Reports, ORSA,
Life operational risks SFCR, RSR)
P&C and other risks
Auditability
Governance, Data Quality, Documentation, Traceability
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13. SAS FOR SOLVENCY II END-TO-END INFRASTRUCTURE
Data Management Risk Quantification Reporting
Data Integration Data Quality
Insurance Data Model  Interfaces to all usual data
 Contains all the relevant core data (Technical sources
Provisions, Financial Data, …)  Documentation of the
 Historisation / Archival Storage ETL processes
Historized Risk Model  Programming via GUI
or direct coding
Solvency II  Data Dictionary
 Tools for Data Quality Checks
 Solvency II Configuration Data
Data Management  Data Extracts  Documentation of the Data
 Data structure according to organizational chart Quality processes
Reporting Model
Data Models  Historized database for QRT-Reports
and processes and internal reporting
Transparent, traceable dataflow
 Aggregation per due date
 Automatic transfer risk calculation results
Auditability
Governance, Data Quality, Documentation, Traceability
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14. SAS FOR SOLVENCY II END-TO-END INFRASTRUCTURE
Data Management Risk Quantification Reporting
Insurance Data Model
Historized
Solvency II
Data Management
Data Models
and Processes
Auditability
Governance, Data Quality, Documentation, Traceability
C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .

15. SAS FOR SOLVENCY II END-TO-END INFRASTRUCTURE
Data Management Risk Quantification Reporting
Data Quality Process
Business User Technical Analyst Data Steward
Historized Business Term Rule Alerts
Solvency II Description Expression
Requirements
Data Management
… defines terms, … combines terms with … manages the results of
correlations and data, defines validation the rules validation in the
Data Models responsible personas rules and models dashboard and is informed
and processes according to their role (Monitoring Processes) on discrepancies by
(Data Dictionary). alerts.
Auditability
Governance, Data Quality, Documentation, Traceability
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16. SAS FOR SOLVENCY II END-TO-END INFRASTRUCTURE
Data Management Risk Quantification Reporting
Data Quality Process
Historized
Solvency II
Data Management
Data Models
and processes
Auditability
Governance, Data Quality, Documentation, Traceability
C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .

17. SAS FOR SOLVENCY II END-TO-END INFRASTRUCTURE
Data Management Risk Quantification Reporting
Functional Components SCR
 Risk Reporting Adj BSCR Op
 Firmwide Risk Aggregation Market Health Default Life Non-Life Intangible
 Underwriting Risk Interest
SLT CAT
Non SLT
Mortality
Premium
rate Health Reserve
• P&C Insurance Premium
Equity Mortality Longevity Lapse
Reserve
• Life
Disability/
Property Longevity Lapse CAT
• Health Morbidity
Disability/
 Market Risk Spread
Morbidity
Lapse
 Historized Data Storage Currency Lapse Expenses
Concen-
Expenses Revision
tration
= included in the adjustment for the
loss-absorbing capacity of technical
Illiquidity Revision CAT
provisions under modular approach
Auditability
Governance, Data Quality, Documentation, Traceability
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18. SAS FOR SOLVENCY II END-TO-END INFRASTRUCTURE
Data Management Risk Quantification Reporting
Functional Components
 Risk Reporting
 Firmwide Risk Aggregation
 Underwriting Risk
• P&C Insurance
• Life
• Health
 Market Risk
 Historized Data Storage
Auditability
Governance, Data Quality, Documentation, Traceability
C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .

19. SAS FOR SOLVENCY II END-TO-END INFRASTRUCTURE
Data Management Risk Quantification Reporting
Reporting Internal Reporting
 External and internal reporting
 Regulatory QRT-Reports For managing simulations,
 Scenarios and simulations models and predictions
Reporting Tools
External Reporting
 Web- Interface for Developing and Displaying Reports
 Export as Flat-Files supporting XBLR-Format for Regulatory and Public
 OLAP Functionality (drill-down) Disclosure
 Ad-Hoc Analysis-Tools (MS Office Add-In, Enterprise Guide) (QRT-Reports, ORSA,
SFCR, RSR)
Auditability
Governance, Data Quality, Documentation, Traceability
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20. SAS FOR SOLVENCY II END-TO-END INFRASTRUCTURE
Data Management Risk Quantification Reporting
Data Sources SAS Insurance Data Model SAS Risk & Capital Analytics SAS Reporting
Operational
Data sources Risk Management / ORSA
& Portfolio SAS Pillar 3
Management Data Internal modelling & Disclosure
Systems Quality Risk Aggregation Standard & Ad Hoc
Regulatory Reports
Standard Formula E.R.M.
EGRC Data Model Solvency II Data Mart Risk Reporting Repository
Integration actuarial tools
Supporting ORSA: SAS Workflow Engine
SAS Metadata Management
Busines Dictionary IT Catalogue Trace Mapping
Lineage Mapping Data Profiling / Data Auditing Governance Workflows
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21. SAS FOR SOLVENCY II IT ARCHITECTURE
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22. SAS FOR SOLVENCY II INTEGRATING THE THREE PILLARS
Solvency II
1 Quantitative 2 Qualitative Requirements 3 Market discipline and
Requirements and Regulation transparency
Approach
Free Assets
Market Risk
Decision Making
Market Value of Assets
Capital Default Risk and Strategy
Requirement
(SCR/MCR) Operational Risk Risk Identification
and Assessment
Underwriting Risk
Reporting
Technical and Monitoring
Risk
Provisions
Mitigation
and Control
 Group-wide Reporting
 Standard Model Approach  ORSA Process  External & Internal Reporting
 Internal Models  Risk Management Processes Requirements
 Group Solvability  Risk Governance, Compliance  SFCR, RSR, QRT
C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .

23. SAS FOR SOLVENCY II INTEGRATING THE THREE PILLARS
Solvency II
1 Quantitative 2 Qualitative Requirements 3 Market discipline and
Requirements and Regulation transparency
SAS Risk Management SAS Enterprise Governance, SAS Risk Management
for Insurance Risk & Compliance for Insurance
 Calculate SCR & MCR  Support Own Risk & Solvency  QRT
 Calculate technical provisions Assessment  Internal Reporting (SFCR)
 Monitoring of solvency requirements  Develop supervisory review process  External Reporting (RSR)
 Quantify operational risk  Refine risk management process
 ORSA Reports
 Valuation of assets  Develop policy framework
 Aggregation  Define risk appetite
 Stress test & back test  Develop risk based performance
measures
 Develop organization – people,
culture competencies
SAS Data Management
Data Integration, Data Quality, Data Models and Monitoring
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24. SAS FOR SOLVENCY II IMPLEMENTING SOLVENCY II
 SAS RMfI is an end-to-end solution integrating all relevant data management processes, based on a
Application dedicated insurance data model for Solvency II
Infrastructure
 Solvency II standard model approach fully supported
Standard Model  Out-of- the-box parametrisation, based on input-cashflows
 Rapid implementation of new requirements from auditors and regulatory bodies (e.g. EIOPA)
Approach
Solvency II Topics
 Group view and group aggregation through standardized quantitative external reports (QRTs)
 Standardized for integrating 3rd party risk modelling tools (e.g. Prophet, Igloo, MoSes, …)
Reporting
 Implementing a group structure in entity models
Branches &  Providing information to foreign subsidiaries for their own individual usage
Subsidiaries  Incorporating results from a foreign subsidiary to support the group aggregation
 Upgradeability: the SAS RMfI solution s perfectly suited for the implementation of (partial) nternal models
Solution  Distributed Architecture, including mainfram and heterogenuously systems for metadata management
Architecture
 Automatisation and acceleration of processes by omission of manual interaction
Data  Data delivery on cashflow basis (+ additional information)
Management  Implementing the standard approach with SAS RMfI for every domestic and international subsidiary
 Groupwide Governance
 Toolset for the validation of data quality and documentation of the data quality processes
Auditability  Full auditability of the Solvency II-data management processes
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25. SAS FOR SOLVENCY II FULL FLEXIBILITY FOR DIFFERENT PROJECT SCENARIOS
DataManagement
Data Management
Datenmanagement Risikoquantifizierung
Risk Quantification Berichtswesen
Reporting
Kranken
Health Group Risk Assessment Internal Reporting
Internal Reporting
Internes
Konzernrisikobewertung
(Group Aggregation) zur Steuerung der
Marktrisiko
Market (Gruppenaggregation)
Incl. Counterparty default risks,
Berichtswesen
for the ability of
Inklusive Kredit-, operationeller For managing simulations,
Simulations-,
Life
Leben operational risks managing simulations,
und sonstiger Risiken models and predictions
Modellierungs-,
Historisiertes
Historised
Historized and other risks models and predictions
Komposit
P&C und Vorhersagefähigkeit
Solvency II SCR - Internal model approach
SCR nachinternal model
SCR - internem Modell
Data Management
Datenmanagement
approach
Datenmodelle
Data Models SCR – standard approach
SCR–nach Standardansatz
SCR Standard model model External Reporting
External Reporting
Externes
For Regulatory and Public
and Processes
und processes
-prozesse Kranken
Health approach
Group Risk Assessment
Konzernrisikobewertung for Berichtswesen
Regulatory Purpose and
Disclosure
Marktrisiko (Group Aggregation) Public Disclosure
für die Aufsicht
Market (Gruppenaggregation)
Incl. Counterparty default risks, (QRT-Reports, ORSA,
Inklusive Kredit-, operationeller QRT-Meldungen, ORSA
(QRT-Reports, ORSA,
Leben
Life operational risks SFCR, RSR)
und sonstiger Risiken SFCR, RSR)
Komposit
P&C and other risks
Auditability
Governance, Data Quality, Documentation, Traceability
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26. AGENDA
1. Solvency II Objectives
2. Business & IT requirements
3. SAS Offering
4. Value & Benefits
5. Customer Successes
6. Why SAS?
C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .

27. VALUE ACHIEVE SOLVENCY II COMPLIANCE WITH SAS
 Supporting all three pillars of Solvency II in a single framework, incl. Data Management
 Calculation of group solvability incl. Group aggregation
 Simulations and scenario analysis
 Fullfillment of Governance Requirements  Reducing costs and efforts
based on SAS Risk Management for Insurance through industrialized processes, analysis and standard
• Integrated Risk Management System reports
• Quality assurance of all data  Reduction of project risks
• Reproductibility of all risk calculations by relying on proven SAS technology and by establishing
• Process automation and establishment of consistent consistant internal reporting standards and automated
internal and external reporting standards processes
• Documentation
 Faster implementation
by relying on a proven Risk Management Framework
 Fullfilment of technical requirements  Quality assurance of all data
via an integrated Risk Management system for Data of the relevant decision making processes for all business
Management, Risk Analytics and Reporting supporting areas
industrialisesd processes for risk quantification
 Protection of investemnts
The sophistication of the SAS solutions provides a robust technological basis for enterprise risk management – moving beyond
Solvency II – based on a single, consistent, integrated and adjustable platform.
 Risk based performance management under constraints of maximum profitability and efficiency
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28. BUSINESS
BEYOND COMPLIANCE WITH SAS
BENEFITS
CEO
 A complete solution to comply with the entire Solvency II regulations  Increase shareholder confidence by reducing volatility and
 Fast, reliable and forward looking information for making high value improving profitability of the company
strategic decisions  Increase policyholder confidence by improving the financial
 A basis for risk adjusted / value based management & for optimizing soundness and stability of the company
decisions like reinsurance programs or investment mix  Grow the company by making products and services more
competitive
CRO CFO Head of Sales/Marketing CIO
 Avoids risk of failure in  Perform complex analysis on  Provides a robust technology
 Directly align the risk strategies
implementing a robust risk how the company is invested for enterprise risk management
with the sales and marketing
management framework  Optimize capital allocation – beyond Solvency II, with a
strategies, i.e. identify
 Meets qualitative regulatory  Protect the company against single, integrated and auditable
unprofitable customers,
demands like transparency and unwanted future losses and platform
unprofitable products,
full documentation of the models realize the expected return by  Reduces implementation
unprofitable regions, etc.
and the risk management optimizing investment project risks by providing ready
 Optimize new business
processes strategies, taking into account to use and easily customized
targets, taking into account
 Supports risk management risk-capital constraints solution
risk-capital constraints,
beyond Solvency II, i.e.  Improve the company‘s rating  Removes integration issues by
customer segmentation and
implementing economic capital and reduce the costs of capital providing the entire solution on
customer value management
models in order to increase the profit single technology platform
 Improve competitiveness off
 Reduces earnings volatility and  Perform market-consistent  Reduces time and cost by
the products
improves financial soundness of valuation of the total balance shortening implementation
company by anticipating future sheet cycles and delivering faster
risks and mitigating them  Reduction of earnings volatility ROI
 Prevents losses – identifies, with better risk management  Protects investments already
quantifies and prioritizes risks due to the quantification of the made by building around the
facing the company (via risk various risk types existing solutions
dashboards and reporting)
 Promote risk culture within
company – measures and
monitors risk adjusted
performance of the company
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29. AGENDA
1. Solvency II Objectives
2. Business & IT requirements
3. SAS Offering
4. Value & Benefits
5. Customer Successes
6. Why SAS?
C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .

30. CUSTOMER STORY P & V (BELGIUM)
Business Problem
• Implementing Solvency II Directive
Customer Quote • Embedding risk assessment into daily activities
Choosing SAS enabled
us to convert our
dispersed data into
consistent and ready-to- Solution
use information,
available for the • SAS Risk Management for Insurance
implementation of
Solvency II, as well as for
improving our risk
management framework Results
Raffaele Barbera, Chief • Improves P&V Group's decision-making and efficiency
Risk Offocer
• Meets its statutory obligations under Solvency II.
• Improved risk management through automatically
generated reports (dashboards, KRIs/KPIs, etc.)
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31. CUSTOMER STORY UNIPOL (ITALY)
Business Problem
• Transform Solvency II compliance into strategy
Customer Quote
It is … operational,
management-based and
executive all at the same
time, because it allows Solution
for one business activity
to be compared with • SAS Risk Management for Insurance
another in terms of risk
exposure, resource
consumption and overall
profitability Results
Renzo Avesani. Director • Production factors optimized
Risk Management
• Capital management aligned with business performance
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32. CUSTOMER STORY ECCLESIASTICAL (UK)
Business Problem
• Meet rigorous data requirements of Solvency II
Customer Quote
We have a solution that
will not only assist with
our compliance of the Solution
Solvency II directive, but • SAS® DataFlux® Data Management Platform
also one that puts us at
the forefront of the
industry
Results
Nigel Light. Business • Reduced costs
Intelligence Analyst
• Improved decisions
• Established data governance processes
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33. CUSTOMER STORY HDI ASSICURAZIONI (ITALY)
Business Problem
• Meet Solvency II requirements while improving data
quality and decision-making speed
Customer Quote
We have met the double
objective of improving Solution
data quality and
streamlining information • SAS Risk Management for Insurance
processes
Francesco Massari, Head Results
of Organization and
Information Systems • Improve data quality
• Timely information reaches business users, actuarial
scientists and senior management
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34. AGENDA
1. Solvency II Objectives
2. Business & IT requirements
3. SAS Offering
4. Value & Benefits
5. Customer Successes
6. Why SAS?
C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .

35. WHY SAS? PROVEN RISK MANAGEMENT SOLUTIONS
 Integrated Enterprise Risk Management (ERM) risk solution for insurers
 Remove current variety of point risk solutions
 Reduce Spreadsheet risk through improved integration
 Enables standardization across risk infrastructure
 Adapts to individual customer requirements by configuration of the SAS
technology
 Provides capabilities to support changing requirements to meet future needs
 SAS investing in new developments in technology and solutions for Risk
Reliability, Cost and Project efficiency, Flexibility
C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .

36. WHY SAS? PROVEN END-TO-END SOLUTIONS
SAS Data Management SAS Risk Analytics SAS Reporting
 Fully integrated Solvency II data  Quantitative and Qualitative  Flexible reporting capabilities at
management platform Risk Management. Group, Division and Product level.
 Insurance data model with  Own Risk and Solvency  Pre-built reporting repository
Solvency II pre-built data marts Assessment (ORSA)  Dashboard capabilities to publish
 In-built data quality routines to  Capital calculation risk engine Key Risk Indicators (KRIs) to
ensure maximum value to the • Solvency II standard model approach web, Excel, Word, PowerPoint or
business • Individual risk internal model calculation, Outlook.
i.e. market risk.
 Insurance data model implemented • Risk aggregation, also using results from  European regulatory reports
and used by clients to support an other existing models available, customizable to local
Enterprise data warehouse.  Workflow engine ensuring gover- requirements.
 Supports integration with existing nance business process mgmt.
financial models  Integrated data model creating
 Creation and inquiry of automatic risk based capital information in a
audit control, data lineage and controlled and auditable way used
reverse impact analysis in business decision making
Proven and reliable technology
C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .

37. WHY SAS? CONCLUSIONS
 Comply with Solvency II requirements using an integrated Risk Management
system
 Reduce cost and effort with SAS Risk Reporting Repository model and
preconfigured reports
 De-risk the project with SAS proven technology and establish consistent
internal reporting standards and process automation
 Accelerate implementation process with a fully fledged risk management
framework in place
 Quality Assurance of the data used by all business functions for decision
making process.
 The sophistication of the SAS solutions ensures that this company can move
‘beyond Solvency II’
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38. MORE
INFORMATION
• Contact information:
Stuart Rose, SAS Global Insurance Marketing Director
e-mail: Stuart.rose@sas.com
Blog: Analytic Insurer
Twitter: @stuartdrose
• White Papers:
Accelerating Solvency II Compliance
Data Management and Solvency II
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39. THANK YOU
C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d . www.SAS.com