Your SlideShare is downloading. ×
0
SAS for Solvency II
SAS for Solvency II
SAS for Solvency II
SAS for Solvency II
SAS for Solvency II
SAS for Solvency II
SAS for Solvency II
SAS for Solvency II
SAS for Solvency II
SAS for Solvency II
SAS for Solvency II
SAS for Solvency II
SAS for Solvency II
SAS for Solvency II
SAS for Solvency II
SAS for Solvency II
SAS for Solvency II
SAS for Solvency II
SAS for Solvency II
SAS for Solvency II
SAS for Solvency II
SAS for Solvency II
SAS for Solvency II
SAS for Solvency II
SAS for Solvency II
SAS for Solvency II
SAS for Solvency II
SAS for Solvency II
SAS for Solvency II
SAS for Solvency II
SAS for Solvency II
SAS for Solvency II
SAS for Solvency II
SAS for Solvency II
SAS for Solvency II
SAS for Solvency II
SAS for Solvency II
SAS for Solvency II
SAS for Solvency II
Upcoming SlideShare
Loading in...5
×

Thanks for flagging this SlideShare!

Oops! An error has occurred.

×
Saving this for later? Get the SlideShare app to save on your phone or tablet. Read anywhere, anytime – even offline.
Text the download link to your phone
Standard text messaging rates apply

SAS for Solvency II

1,813

Published on

Recognized as the industry leader in analytics, SAS provides capabilities to help insurers …

Recognized as the industry leader in analytics, SAS provides capabilities to help insurers
comply with the Solvency II regulations and beyond. With SAS you get:
• A robust risk analytics framework.
• A data repository and insurance-specific data model
• Superior data integration capabilities

0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
1,813
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
66
Comments
0
Likes
0
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
No notes for slide

Transcript

  • 1. IMPLEMENTING SOLVENCY II MORE INFORMATIONC 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 .
  • 2. 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 .
  • 3. SOLVENCY II COMPLIANCE Solvency II Framework Directive issued November 25th, 2009 Implementation Date January 1st, 2014C 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 .
  • 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 makingC 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 .
  • 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 5C 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 .
  • 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, QRTC 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 .
  • 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 ProcessesC 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 .
  • 9. DATA MANAGEMENT & DATA QUALITY REGULATORY SOLVENCY II REQUIREMENTSC 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 .
  • 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, TraceabilityC 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 .
  • 11. 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 .
  • 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, TraceabilityC 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 .
  • 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, TraceabilityC 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 .
  • 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, TraceabilityC 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, TraceabilityC 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 .
  • 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, TraceabilityC 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, TraceabilityC 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 .
  • 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, TraceabilityC 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, TraceabilityC 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 .
  • 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 WorkflowsC 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 .
  • 21. SAS FOR SOLVENCY II IT ARCHITECTUREC 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 .
  • 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, QRTC 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 MonitoringC 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 .
  • 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 processesC 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 .
  • 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, TraceabilityC 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 .
  • 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 efficiencyC 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 .
  • 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 companyC 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 .
  • 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 Groups decision-making and efficiency Risk Offocer • Meets its statutory obligations under Solvency II. • Improved risk management through automatically generated reports (dashboards, KRIs/KPIs, etc.)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 .
  • 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 performanceC 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 .
  • 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 processesC 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 .
  • 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 managementC 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 .
  • 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, FlexibilityC 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 technologyC 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’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 .
  • 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 IIC 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 .
  • 39. THANK YOUC 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

×