sas for solvency ii
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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 .
IMPLEMENTING SOLVENCY II
MORE INFORMATION
Copyr i g ht © 2012, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
AGENDA
1. Solvency II Objectives
2. Business & IT requirements
3. SAS Offering
4. Value & Benefits
5. Customer Successes
6. Why SAS?
Copyr i g ht © 2012, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
SOLVENCY II COMPLIANCE
Solvency II Framework Directive issued November 25th, 2009
Implementation Date January 1st, 2014
Copyr i g ht © 2012, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
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
Copyr i g ht © 2012, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
SOLVENCY II CHALLENGING TIMES
Flexibility and future developments to be considered
Excel-based implementations are not Solvency II compliant
Solvency II timelines
Framework Directive
Implementing measures
Transition into local law
Harmonisation of regulation
QIS 4 QIS 4.5 QIS 5
Level
Level 2
Level 3
Level 4
QIS
2008 2009 2010 2011 2012 2013 2014
from 2014 (?) on: meeting regulatory reporting requirements in their entirety
Copyr i g ht © 2012, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
SOLVENCY II THE THREE PILLARS
Solvency II
Quantitative
Requirements
Qualitative Requirements
and Regulation
Market discipline and
transparency 1 2 3
Standard Model Approach
Internal Models
Group Solvability
ORSA Process
Risk Management Processes
Risk Governance, Compliance
Group-wide Reporting
External & Internal Reporting
Requirements
SFCR, RSR, QRT
Approach
Decision Making
and Strategy
Risk Identification
and Assessment
Risk
Mitigation
and Control
Reporting
and Monitoring
Ma
rke
t V
alu
e o
f A
sse
ts
Market Risk
Default Risk
Operational Risk
Underwriting Risk
Technical
Provisions
Capital
Requirement
(SCR/MCR)
Free Assets
Copyr i g ht © 2012, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
AGENDA
1. Solvency II Objectives
2. Business & IT requirements
3. SAS Offering
4. Value & Benefits
5. Customer Successes
6. Why SAS?
Copyr i g ht © 2012, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
SOLVENCY II DATA MANAGEMENT & SOFTWARE REGULATORY
REQUIREMENTS
Historized Solvency II
Data Management
Data Models and
Processes
Auditability
Governance, Data Quality,
Documentation, Traceability
Copyr i g ht © 2012, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
SOLVENCY II DATA MANAGEMENT & DATA QUALITY REGULATORY
REQUIREMENTS
Copyr i g ht © 2012, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
SOLVENCY II PROJECT CHALLENGES
Application
Infrastructure
Standard Model
Approach
Reporting
Branches &
Subsidiaries
Solution
Architecture
Establish a Solvency II Process and IT infrastructure, that fulfills all regulator requirements. Including:
completeness of IT processes, auditability and documentation
Integration with existing 3rd party actuarial modelling tools (e.g. Prophet, Igloo, …)
Data Management including development of required data marts
Capital requirement calculation according to the standard model approach for all branches an all risk
Regulatory reports for solo entities and at group level (QRT)
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)
Capital calculations according to the standard model approach
Group aggregation for all subsidiaries
Upgradeable and scaleable for future requirements
Configurable and flexible for future changes in regulatory requirements, e.g. Reporting
Data
Management
Auditability
Historized and version controlled Solvency II Data and Model Management
Data Models and processes
Risk Governance
Auditability
Data Quality, Documentation, Traceability
So
lven
cy I
I T
op
ics
Copyr i g ht © 2012, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
AGENDA
1. Solvency II Objectives
2. Business & IT requirements
3. SAS Offering
4. Value & Benefits
5. Customer Successes
6. Why SAS?
Copyr i g ht © 2012, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
SAS FOR SOLVENCY II END-TO-END INFRASTRUCTURE
Historized Solvency II
Data Management
Data Models
and processes
Auditability
Governance, Data Quality, Documentation, Traceability
SCR - Internal model approach
Group Risk Assessment
(Group Aggregation)
Incl. Counterparty default risks,
operational risks
and other risks
Market
Life
P&C
Health
SCR – Standard model approach
Group Risk Assessment
(Group Aggregation)
Incl. Counterparty default risks,
operational risks
and other risks
Market
Life
P&C
Health
For the ability of
managing simulations,
models and predictions
Internal Reporting
for Regulatory Purpose and
Public Disclosure
(QRT-Reports, ORSA,
SFCR, RSR)
External Reporting
Data Management Risk Quantification Reporting
Copyr i g ht © 2012, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
SAS FOR SOLVENCY II END-TO-END INFRASTRUCTURE
Risk Quantification Reporting
Historized Solvency II
Data Management
Data Models
and processes
Insurance Data Model
Contains all the relevant core data (Technical
Provisions, Financial Data, …)
Historisation / Archival Storage
Risk Model
Data Dictionary
Solvency II Configuration Data
Data Extracts
Data structure according to organizational chart
Reporting Model
Historized database for QRT-Reports
and internal reporting
Transparent, traceable dataflow
Aggregation per due date
Automatic transfer risk calculation results
Data Quality Data Integration Interfaces to all usual data
sources
Documentation of the
ETL processes
Programming via GUI
or direct coding
Tools for Data Quality Checks
Documentation of the Data
Quality processes
Auditability
Governance, Data Quality, Documentation, Traceability
Data Management
Copyr i g ht © 2012, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
SAS FOR SOLVENCY II END-TO-END INFRASTRUCTURE
Risk Quantification Reporting
Insurance Data Model
Historized Solvency II
Data Management
Data Models
and Processes
Auditability
Governance, Data Quality, Documentation, Traceability
Data Management
Copyr i g ht © 2012, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
SAS FOR SOLVENCY II END-TO-END INFRASTRUCTURE
Risk Quantification Reporting
Alerts
Expression
Rule
Data Quality Process
Description
Requirements
Business Term
… defines terms,
correlations and
responsible personas
according to their role
(Data Dictionary).
… combines terms with
data, defines validation
rules and models
(Monitoring Processes)
… manages the results of
the rules validation in the
dashboard and is informed
on discrepancies by
alerts.
Business User Technical Analyst Data Steward
Historized Solvency II
Data Management
Data Models
and processes
Auditability
Governance, Data Quality, Documentation, Traceability
Data Management
Copyr i g ht © 2012, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
SAS FOR SOLVENCY II END-TO-END INFRASTRUCTURE
Risk Quantification Reporting
Historized Solvency II
Data Management
Data Models
and processes
Auditability
Governance, Data Quality, Documentation, Traceability
Data Management
Data Quality Process
Copyr i g ht © 2012, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
SAS FOR SOLVENCY II END-TO-END INFRASTRUCTURE
Reporting Data Management
Functional Components
Risk Reporting
Firmwide Risk Aggregation
Underwriting Risk
• P&C Insurance
• Life
• Health
Market Risk
Historized Data Storage
Adj BSCR
SLT
Mortality
Longevity
Disability/ Morbidity
Lapse
Expenses
Revision
Op
Interest rate
Equity
Property
Spread
Currency
Concen-tration
Illiquidity
SCR
Health Default Intangible
CAT
Premium Reserve
Lapse
Non-Life Market
Non SLT Health
Premium Reserve
Lapse
CAT Mortality
Longevity
Disability/ Morbidity
Lapse
Expenses
Revision
CAT
Life
= included in the adjustment for the
loss-absorbing capacity of technical
provisions under modular approach
Auditability
Governance, Data Quality, Documentation, Traceability
Risk Quantification
Copyr i g ht © 2012, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
SAS FOR SOLVENCY II END-TO-END INFRASTRUCTURE
Reporting Data Management
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
Risk Quantification
Copyr i g ht © 2012, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
SAS FOR SOLVENCY II END-TO-END INFRASTRUCTURE
Risk Quantification Data Management
Reporting
External and internal reporting
Regulatory QRT-Reports
Scenarios and simulations
Reporting Tools
Web- Interface for Developing and Displaying Reports
Export as Flat-Files supporting XBLR-Format
OLAP Functionality (drill-down)
Ad-Hoc Analysis-Tools (MS Office Add-In, Enterprise Guide)
For managing simulations,
models and predictions
Internal Reporting
for Regulatory and Public
Disclosure
(QRT-Reports, ORSA,
SFCR, RSR)
External Reporting
Auditability
Governance, Data Quality, Documentation, Traceability
Reporting
Copyr i g ht © 2012, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
SAS FOR SOLVENCY II END-TO-END INFRASTRUCTURE
Reporting Data Management Risk Quantification
Internal modelling &
Risk Aggregation
Risk Management / ORSA
Pillar 3
Disclosure
Standard & Ad Hoc
Regulatory Reports
E.R.M.
SAS Metadata Management
SAS
Data
Quality
Standard Formula
Supporting ORSA: SAS Workflow Engine
EGRC Data Model
Integration actuarial tools
Busines Dictionary IT Catalogue Trace Mapping
Lineage Mapping Data Profiling / Data Auditing Governance Workflows
SAS Insurance Data Model
Operational
Data sources
& Portfolio
Management
Systems
Data Sources SAS Risk & Capital Analytics SAS Reporting
Risk Reporting Repository Solvency II Data Mart
Copyr i g ht © 2012, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
SAS FOR SOLVENCY II IT ARCHITECTURE
Copyr i g ht © 2012, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
SAS FOR SOLVENCY II INTEGRATING THE THREE PILLARS
Solvency II
Quantitative
Requirements
Qualitative Requirements
and Regulation
Market discipline and
transparency 1 2 3
Standard Model Approach
Internal Models
Group Solvability
ORSA Process
Risk Management Processes
Risk Governance, Compliance
Group-wide Reporting
External & Internal Reporting
Requirements
SFCR, RSR, QRT
Approach
Decision Making
and Strategy
Risk Identification
and Assessment
Risk
Mitigation
and Control
Reporting
and Monitoring
Ma
rke
t V
alu
e o
f A
sse
ts
Market Risk
Default Risk
Operational Risk
Underwriting Risk
Technical
Provisions
Capital
Requirement
(SCR/MCR)
Free Assets
Copyr i g ht © 2012, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
SAS FOR SOLVENCY II INTEGRATING THE THREE PILLARS
Solvency II
Quantitative
Requirements
Qualitative Requirements
and Regulation
Market discipline and
transparency 1 2 3
SAS Risk Management
for Insurance
Calculate SCR & MCR
Calculate technical provisions
Monitoring of solvency requirements
Quantify operational risk
Valuation of assets
Aggregation
Stress test & back test
SAS Enterprise Governance,
Risk & Compliance
Support Own Risk & Solvency
Assessment
Develop supervisory review process
Refine risk management process
Develop policy framework
Define risk appetite
Develop risk based performance
measures
Develop organization – people,
culture competencies
SAS Risk Management
for Insurance
QRT
Internal Reporting (SFCR)
External Reporting (RSR)
ORSA Reports
SAS Data Management Data Integration, Data Quality, Data Models and Monitoring
Copyr i g ht © 2012, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
SAS FOR SOLVENCY II IMPLEMENTING SOLVENCY II
SAS RMfI is an end-to-end solution integrating all relevant data management processes, based on a
dedicated insurance data model for Solvency II
Solvency II standard model approach fully supported
Out-of- the-box parametrisation, based on input-cashflows
Rapid implementation of new requirements from auditors and regulatory bodies (e.g. EIOPA)
Group view and group aggregation through standardized quantitative external reports (QRTs)
Standardized for integrating 3rd party risk modelling tools (e.g. Prophet, Igloo, MoSes, …)
Implementing a group structure in entity models
Providing information to foreign subsidiaries for their own individual usage
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
Distributed Architecture, including mainfram and heterogenuously systems for metadata management
Automatisation and acceleration of processes by omission of manual interaction
Data delivery on cashflow basis (+ additional information)
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
Full auditability of the Solvency II-data management processes
Application
Infrastructure
Standard Model
Approach
Reporting
Branches &
Subsidiaries
Solution
Architecture
Data
Management
Auditability
So
lven
cy I
I T
op
ics
Copyr i g ht © 2012, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
SAS FOR SOLVENCY II FULL FLEXIBILITY FOR DIFFERENT PROJECT SCENARIOS
Historised Solvency II
Data Management
Data Models
and Processes
Auditability
Governance, Data Quality, Documentation, Traceability
SCR - internal model
approach
Group Risk Assessment
(Group Aggregation)
Incl. Counterparty default risks,
operational risks
and other risks
Market
Life
P&C
Health
SCR – standard model
approach Group Risk Assessment
(Group Aggregation)
Incl. Counterparty default risks,
operational risks
and other risks
Market
Life
P&C
Health
for the ability of
managing simulations,
models and predictions
Internal Reporting
for Regulatory Purpose and
Public Disclosure
(QRT-Reports, ORSA,
SFCR, RSR)
External Reporting
Data Management Risk Quantification Reporting
Historisiertes Solvency II
Datenmanagement
Datenmodelle und -prozesse
Datenmanagement
Historized Solvency II
Data Management
Data Models
and processes
Data Management
SCR nach internem Modell
Konzernrisikobewertung
(Gruppenaggregation)
Inklusive Kredit-, operationeller
und sonstiger Risiken
Marktrisiko
Leben
Komposit
Kranken
SCR nach Standardansatz
Konzernrisikobewertung
(Gruppenaggregation)
Inklusive Kredit-, operationeller
und sonstiger Risiken
Marktrisiko
Leben
Komposit
Kranken
Risikoquantifizierung
SCR - Internal model approach
Group Risk Assessment
(Group Aggregation)
Incl. Counterparty default risks,
operational risks
and other risks
Market
Life
P&C
Health
SCR – Standard model approach
Group Risk Assessment
(Group Aggregation)
Incl. Counterparty default risks,
operational risks
and other risks
Market
Life
P&C
Health
Risk Quantification
zur Steuerung der
Simulations-,
Modellierungs-,
und Vorhersagefähigkeit
Internes
Berichtswesen
für die Aufsicht
QRT-Meldungen, ORSA
Externes
Berichtswesen
Berichtswesen
For managing simulations,
models and predictions
Internal Reporting
For Regulatory and Public
Disclosure
(QRT-Reports, ORSA,
SFCR, RSR)
External Reporting
Reporting
Auditability
Governance, Data Quality, Documentation, Traceability Auditability
Governance, Data Quality, Documentation, Traceability
Copyr i g ht © 2012, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
AGENDA
1. Solvency II Objectives
2. Business & IT requirements
3. SAS Offering
4. Value & Benefits
5. Customer Successes
6. Why SAS?
Copyr i g ht © 2012, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
VALUE ACHIEVE SOLVENCY II COMPLIANCE WITH SAS
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
Fullfillment of Governance Requirements
based on SAS Risk Management for Insurance
• Integrated Risk Management System
• Quality assurance of all data
• Reproductibility of all risk calculations
• Process automation and establishment of consistent
internal and external reporting standards
• Documentation
Reducing costs and efforts
through industrialized processes, analysis and standard
reports
Reduction of project risks
by relying on proven SAS technology and by establishing
consistant internal reporting standards and automated
processes
Faster implementation
by relying on a proven Risk Management Framework
Quality assurance of all data
of the relevant decision making processes for all business
areas
Fullfilment of technical requirements
via an integrated Risk Management system for Data
Management, Risk Analytics and Reporting supporting
industrialisesd processes for risk quantification
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
Copyr i g ht © 2012, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
BUSINESS
BENEFITS BEYOND COMPLIANCE WITH SAS
A complete solution to comply with the entire Solvency II regulations
Fast, reliable and forward looking information for making high value
strategic decisions
A basis for risk adjusted / value based management & for optimizing
decisions like reinsurance programs or investment mix
Perform complex analysis on
how the company is invested
Optimize capital allocation
Protect the company against
unwanted future losses and
realize the expected return by
optimizing investment
strategies, taking into account
risk-capital constraints
Improve the company‘s rating
and reduce the costs of capital
in order to increase the profit
Perform market-consistent
valuation of the total balance
sheet
Reduction of earnings volatility
with better risk management
due to the quantification of the
various risk types
CFO
Avoids risk of failure in
implementing a robust risk
management framework
Meets qualitative regulatory
demands like transparency and
full documentation of the models
and the risk management
processes
Supports risk management
beyond Solvency II, i.e.
implementing economic capital
models
Reduces earnings volatility and
improves financial soundness of
company by anticipating future
risks and mitigating them
Prevents losses – identifies,
quantifies and prioritizes risks
facing the company (via risk
dashboards and reporting)
Promote risk culture within
company – measures and
monitors risk adjusted
performance of the company
CRO
Directly align the risk strategies
with the sales and marketing
strategies, i.e. identify
unprofitable customers,
unprofitable products,
unprofitable regions, etc.
Optimize new business
targets, taking into account
risk-capital constraints,
customer segmentation and
customer value management
Improve competitiveness off
the products
Head of Sales/Marketing
Provides a robust technology
for enterprise risk management
– beyond Solvency II, with a
single, integrated and auditable
platform
Reduces implementation
project risks by providing ready
to use and easily customized
solution
Removes integration issues by
providing the entire solution on
single technology platform
Reduces time and cost by
shortening implementation
cycles and delivering faster
ROI
Protects investments already
made by building around the
existing solutions
CIO
Increase shareholder confidence by reducing volatility and
improving profitability of the company
Increase policyholder confidence by improving the financial
soundness and stability of the company
Grow the company by making products and services more
competitive
CEO
Copyr i g ht © 2012, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
AGENDA
1. Solvency II Objectives
2. Business & IT requirements
3. SAS Offering
4. Value & Benefits
5. Customer Successes
6. Why SAS?
Copyr i g ht © 2012, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
CUSTOMER STORY P & V (BELGIUM)
Customer Quote
Choosing SAS enabled us to convert our dispersed data into consistent and ready-to-use information, available for the implementation of Solvency II, as well as for improving our risk management framework
Raffaele Barbera, Chief Risk Offocer
Business Problem
• Implementing Solvency II Directive
• Embedding risk assessment into daily activities
Results
• Improves P&V Group's decision-making and efficiency
• Meets its statutory obligations under Solvency II.
• Improved risk management through automatically
generated reports (dashboards, KRIs/KPIs, etc.)
Solution
• SAS Risk Management for Insurance
Copyr i g ht © 2012, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
CUSTOMER STORY UNIPOL (ITALY)
Customer Quote
It is … operational, management-based and executive all at the same time, because it allows for one business activity to be compared with another in terms of risk exposure, resource consumption and overall profitability
Renzo Avesani. Director Risk Management
Business Problem
• Transform Solvency II compliance into strategy
Results
• Production factors optimized
• Capital management aligned with business performance
Solution
• SAS Risk Management for Insurance
Copyr i g ht © 2012, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
CUSTOMER STORY ECCLESIASTICAL (UK)
Customer Quote
We have a solution that will not only assist with our compliance of the Solvency II directive, but also one that puts us at the forefront of the industry
Nigel Light. Business Intelligence Analyst
Business Problem
• Meet rigorous data requirements of Solvency II
Results
• Reduced costs
• Improved decisions
• Established data governance processes
Solution
• SAS® DataFlux® Data Management Platform
Copyr i g ht © 2012, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
CUSTOMER STORY HDI ASSICURAZIONI (ITALY)
Customer Quote
We have met the double objective of improving data quality and streamlining information processes
Francesco Massari, Head of Organization and Information Systems
Business Problem
• Meet Solvency II requirements while improving data
quality and decision-making speed
Results
• Improve data quality
• Timely information reaches business users, actuarial
scientists and senior management
Solution
• SAS Risk Management for Insurance
Copyr i g ht © 2012, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
AGENDA
1. Solvency II Objectives
2. Business & IT requirements
3. SAS Offering
4. Value & Benefits
5. Customer Successes
6. Why SAS?
Copyr i g ht © 2012, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
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
Copyr i g ht © 2012, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
WHY SAS? PROVEN END-TO-END SOLUTIONS
Fully integrated Solvency II data
management platform
Insurance data model with
Solvency II pre-built data marts
In-built data quality routines to
ensure maximum value to the
business
Insurance data model implemented
and used by clients to support an
Enterprise data warehouse.
Supports integration with existing
financial models
Creation and inquiry of automatic
audit control, data lineage and
reverse impact analysis
Quantitative and Qualitative
Risk Management.
Own Risk and Solvency
Assessment (ORSA)
Capital calculation risk engine • Solvency II standard model approach
• Individual risk internal model calculation,
i.e. market risk.
• Risk aggregation, also using results from
other existing models
Workflow engine ensuring gover-
nance business process mgmt.
Integrated data model creating
risk based capital information in a
controlled and auditable way used
in business decision making
Flexible reporting capabilities at
Group, Division and Product level.
Pre-built reporting repository
Dashboard capabilities to publish
Key Risk Indicators (KRIs) to
web, Excel, Word, PowerPoint or
Outlook.
European regulatory reports
available, customizable to local
requirements.
SAS Data Management SAS Risk Analytics SAS Reporting
Proven and reliable technology
Copyr i g ht © 2012, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
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’
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:
Accelerating Solvency II Compliance
Data Management and Solvency II
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
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