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1 The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described for Oracle s products remains at the sole discretion of Oracle.

2 <Insert Picture Here> Oracle Insurance Insight Jamie Richards Sales Consultant Insurance Global Business Unit

3 End-to-End Insurance Solution Oracle Services Insurance Professional Service Team, Education, 24x7 Support ORACLE APPLICATIONS CRM and Distribution Management Rating and Illustration Customer Communications Management Applications Industry Forms Policy Issuance Client Communications & Claims Correspondence INTEGRATION & COLLABORATION Insurance Application Integration Architecture, Business Process Bus TECHNOLOGY FOUNDATION New Business and Underwriting Desktop Policy Administration Insurance Data Exchange Data Exchange Between Carriers, Distributors and Service Providers Database, Fusion, BPEL, Security, etc. Billing Claims ERP Insurance General Agent System for Brokers and Wholesalers Platform Solutions MDM Insurance BI Applications Compliance Enterprise Risk & Performance Management Confidential Internal Only

4 Technology Needs and Requirements Customers require multiple specific applications and centralized data Insurers (all lines) require a centralized transactional insurance data warehouse (IDW) to support multiple processes Eases the multiple same-type source system issue Centralizes and normalizes data for simple analytic consumption across lines Provides operational data structures for key core systems ( PAS, Claims, Rating/Quoting, Billing, Underwriting, etc ) Insurer s are consistent in their desire for a centralized transaction warehouse structure that can be utilized by any analytic application Analytic needs require separate expertise due to line specifics and technology needs Leverage Middleware to attack specific IBI App needs (OFSAA for Solvency II, Data Mining for Fraud) Adhere to overall Insurance BI Architecture to permit conformity across IBI Apps. Specific Insurance BI (IBI) Applications needs: Customer Profitability Fraud Distribution and Underwriting Solvency and Risk Pricing

5 Oracle Insurance BI/Warehouse Strategic Vision Mechanized, upgradeable and complete vs. primary competitors Offer complete insurance data warehouse platform based on core Oracle Tech (ODI, OBIEE, Exadata, 11g DB) Standalone warehousing solution for Life, Health and P&C not an EDW Componentized and can be made an appliance Provide logical and physical data models comprehensive in scope as consolidation creates need Keep IDW logically separate for integration, simplicity, history and extensibility needs Address markets for Life, Health and P&C while conforming across segments Can be utilized to provide operational analytics for each source Offer targeted Advanced Analytics as separate BI Apps to complement IGBU application footprint: Solvency II Analytics and Reporting Pricing Manager Analytics (Model, Impact, Rate, Analyze Project MIRA) Customer Analytics (all lines) Profitability Analytics (all lines)

6 Oracle Insurance Insight for all Lines Roadmap and Initiatives w/ Full Investment Delivered Planned 1. Adaptive Data Model and WH Palette 2. Oracle Data Integrator Uptake 3. Type I&II SCD uptake 4. Non-Sequential Load 5. Extended Claims Attributes 1. Quote/Rate Models 2. Workflow Mart Structures 3. Repository Updates 4. Endorsement Reporting 1. Quote/Rate Models 2. Workflow Mart Structures 3. Repository Updates 4. Endorsement Reporting 1. Transactional Reporting 2. Integration w/ P&C and Health warehouses 3. Full Adaptive DM support 4. Quote/Illustration support P&C 7.0 P&C P&C P&C 7.1 Life1.0 Health Maintenance Release 1. Transactional Reporting 2. Integration w/ P&C and Life warehouses 3. Full Adaptive DM support 4. Quote support 5. Claims support This slide is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described for Oracle s products remains at the sole discretion of Oracle.=

7 confidential Key Insurer BI Pains Old Systems, Slow Methods and Varied Needs

8 Oracle Insurance Business Intelligence and Analytics Analytic activities supported by Oracle Insurance Insight data model Profiles and Identifies customers for target marketing, analyze affinity, reasons for attrition Insured Base Channel/Marketing/Agent Management Monitor and inform channels of market changes to attain more business Critical component of claims management, helps fraud detection, monitoring, claims estimation Claims Reinsurance Improves product development and book of business understanding Policy/Product Dev Underwriting Complete overview of strategic business indicators LOB Management Executive Management Analytics provide crucial information that cements relationships with clients, provides insight to cost overruns and profitability possibilities.

9 Oracle Insurance Native Insight Metrics Example Oracle Insurance Insight Metrics Premium Paid and Recovery Amts Incurred Amounts Ratios Base Premium Cancelled Premium Earned Premium Effective Premium Expired Premium Future Written Premium Inforce Premium Processed Premium Retained Premium Written Premium Combined Paid Combined Expense Combined Loss and Expense Combined Loss and Recoveries Combined Loss, Expense and Recoveries Deductible Recovered Salvage Recovered Subrogation Recovered Paid Amounts Loss Allocated Expense Unallocated Expense Combined Incurred Combined Expense Combined Loss and Expense Combined Recovery Combined Los and Recovery Incurred Amounts Allocated Expense Deductible Loss Salvage Subrogation Unallocated Expense Premium Ratios Cancelled to Written Earned to Written Inforce to Written Premium Renewal Retention Paid Ratios Combined Paid Loss Paid Loss Expense (allocated/unallocated) Reserve Change Ratios Incurred Loss Ratios Expense Ratios Exposure Ratios Possible Dashboards/Reports built from core metrics Underwriter Average Premium per policy Exposure Summary Premium Summary Actuary Loss Triangulation Loss vs. Premium Premium Reserve Claims Claims in Subrogation Claims counts Claims by Adjuster Reserve Summary Production Claims by Producer Premium/Loss by Agent/Agency Written Premium

10 <Insert Picture Here> Oracle Business Intelligence Enterprise Edition (OBIEE) w/ OII Overview Confidential Internal Only

11 Pre-built Dashboards and Measures Insurance-Specific BI LOB Analytics Loss Premium Ratios Counts Line of Business Attributes Guided Analytics Visual Indicators Statistical Functionality Confidential Internal Only

12 More than just dashboards and reports Value of Oracle Insurance Insight lies under the surface DASHBOARDS & REPORTS Prebuilt best practice library One size does NOT fit all SUBJECT AREAS Many metrics and dimensional attributes created ad hoc versus prebuilt dashboards and reports Endless possibilities Incremental work to build exponentially more content from this foundation

13 1 3 Any Interaction Style Interactive Analysis Drill anywhere visualization Published Reporting Page-Oriented, High Volume, Pixel-Perfect Smart Office Access Secure Integration with Microsoft Office Dashboards and Scorecards Role-based and Personalized

14 1 4 Drive BI Pervasively Across Your Enterprise Proactive Alerts, Mobile Access Push BI to and mobile devices Guided Analytics Enable greater analysis success FPO Embedded in OLTP Applications In-Context Insight BI Drives Business Processes Intelligence-driven business processes BPEL, ESB Oracle BI

15 Common Enterprise Information Model Enables Consistency, Security, Reuse, Flexibility PRESENTATION LAYER User Roles, Preferences Simplified View Logical SQL Interface Role-Based Views of the Information Relevant to the User SEMANTIC OBJECT LAYER Dimensions Hierarchies Measures Calculations Aggregation Rules Time Series Consistent Definition of Business Measures, Metrics, Calculations PHYSICAL LAYER Map Physical Data Connections Schema Model Once, Deploy Everywhere Across Any Data Sources 15 Copyright 2008, Oracle and/or its affiliates. All rights reserved. 15

16 Oracle Insurance Insight for General Insurance 7.0 ARCHITECTURE AND ADAPTIVE DATA MODELING 16

17 The BI Development Quandary Why is it so difficult? Separate entities or people responsible for each item Business analyst: Requirements Data Modelers: Modeling ETL Developers: ETL Report developers: Reports Projects can take years and fall short of expectations Models don t match business ETL is difficult to maintain and doesn t represent business practices Insurance Business Intelligence Environment Business needs can get lost in translation among each entity

18 The adaptive approach

19 The 80/20 Rule in Insurance 80% of an insurer s data structures are similar to every other insurer 20% varies greatly between insurers

20 The 20% What differs insurer to insurer Product Definition Rating/Underwriting Lines of Business Channels Marketing Business Processes The Data

21 Power of Adaptive BI Contrast Between Traditional & Adaptive Models Business User Establish Requirements Developer Develop Physical Model Developer Configure Dashboards Developer Develop Logical Model Develop Warehouse ETL Develop Data Mart ETL Configure Reports

22 Power of Adaptive BI Contrast Between Traditional & Adaptive Models Business User Define LOB System Auto Generate DB Structures Business User Consume Dashboards Auto Generate Warehouse ETL Auto Generate Data Mart ETL Consume Reports

23 Power of Adaptive BI Contrast Between Traditional & Adaptive Models Business User Define LOB System Auto Generate DB Structures Business User Consume Dashboards Auto Generate Warehouse ETL Auto Generate Data Mart ETL Consume Reports Business User Establish Requirements Developer Develop DB Structures Developer Configure Dashboards Developer Perform LOB Data Modeling Develop Warehouse ETL Develop Data Mart ETL Configure Reports

24 Power of Adaptive BI Contrast Between Traditional & Adaptive Models Business User Define LOB System Auto Generate DB Structures Business User Consume Dashboards Auto Generate Warehouse ETL Auto Generate Data Mart ETL Consume Reports Fits the business immediately Faster upfront and future implementation Eases testing and deployment Allows for what-if BI development Easy updates to existing infrastructure

25 Complete Dimensional Customization Warehouse Palette The Warehouse Palette allows the configuration of dimensional attributes about which you want to describe and report on your data.

26 Dimensional Customization Align to your business The Warehouse Palette allows the configuration of dimensional attributes about which you want to describe and report on your data. Enables configuration of line-based dimensions Dynamically add dimensional entities Auto-generate ETL Extends to reporting Warehouse Palette

27 Pre-Built Lines of Business Pre-built content vs. configuration Out of the box templates/content for LOBs Commercial Property, Auto, etc Personal Property, Auto, etc Configurable Content is likely to be starting point for general insurer s to develop their own content.

28 Reduced Cost of Ownership Value of Oracle Insurance Insight lies under the surface Single LOB Custom Build Dashboards Data Marts Dashboards Data Marts IDW Metrics & Aggregations Oracle Insurance Insight Benefits Faster Time to Market Lower TCO Assured Business Value IDW Metrics & Aggregations IDW Design ETL & Mapping IDW Design ETL & Mapping Oracle Insurance Insight Tweak Application Implement Oracle ETL & Mapping Quarters or Years Months or Weeks

29 Oracle Insurance Insight Architecture Modular, Extensible, Adaptable, Complete Policy Source Policy Source Policy Interface(s) Policy Interface(s) Oracle Insurance Insight Data Model and Data Design Data Marts OI Insight OBIEE Repository Claim Source Claim Source Claim Interface(s) Claim Interface(s) Relational Transaction Model Calculation Engine Interface Definition Engine Warehouse Definition Engine Mart Definition Engine Line Templates (Pre-Built Lines) Warehouse Palette (create new attributes, change attributes)

30 Reference Insurance Architecture and Data Flows Enterprise Services (SOA Suite) Closed Loop BI DATA WAREHOUSE PRESENTATION Operational Policy Claims CRM Billing MDM Source Extracts Customer Master Common Keys Rules Reception Source Extracts Data Quality Integration Insight Interfaces Logs, Errors Integration Common Keys Delivery Zone Insight IDW and IBI Apps Insight IDW OBIEE Operational, Analytical, Regulatory Reporting Product Claim Quote Campaign CPM/BSC Customer Advanced Analytics Segmentation Quoting Rating 3 rd Party Data Data Quality Data Quality And Profiling Fraud Rating Analytic Engines Solvency II Modeling Extracts (ODI) ETL (ODI) 8 April, 2011

31 <Insert Picture Here> Oracle Business Intelligence Enterprise Edition (OBIEE) w/ OII Overview Confidential Internal Only

32 Pre-built Dashboards and Measures Insurance-Specific BI LOB Analytics Loss Premium Ratios Counts Line of Business Attributes Guided Analytics Visual Indicators Statistical Functionality Confidential Internal Only

33 More than just dashboards and reports Value of Oracle Insurance Insight lies under the surface DASHBOARDS & REPORTS Prebuilt best practice library One size does NOT fit all SUBJECT AREAS Many metrics and dimensional attributes created ad hoc versus prebuilt dashboards and reports Endless possibilities Incremental work to build exponentially more content from this foundation

34 <Insert Picture Here> Oracle Insurance Insight 7.0 Data Model Overview Confidential Internal Only

35 Insight Insurance Data Warehouse (IDW) Logical and Physical Models Developed using SQL Data Modeler Any Relational DB Platform Party-based for ultimate flexibility Transaction Level (Atomic) All Policy Transactions All Claims Transactions Pre-built content supporting Standard LOB Adaptive Data Model allows for any GI line Confidential Internal Only

36 Data Mart Overview Summarized Data 150+ Predefined Metrics 70+ Dimension Tables LOB or Subject Specific Policy Transaction Mart Claim Transaction Mart Monthly Aggregate Line Specific Marts Generic Aggregate Marts Corporate Detail Claims Confidential Internal Only

37 Technology Uptake and Globalization Oracle Database 11g Spatial Real time decisions Mining Exadata Oracle Data Integrator 11g (ODI) Scheduling Validation Warehouse palette OBIEE 11g Enhanced reporting Visuals Multi-Currency Globalized

38 Oracle Insurance Insight DEMONSTRATION

39 Dimensional Customization Align to you business The Warehouse Palette allows the configuration of dimensional attributes about which you want to describe and report on your data. Enables configuration of Line based Dimensions Warehouse Palette

40 Dimensional Customization Align to you business The Warehouse Palette allows the configuration of dimensional attributes about which you want to describe and report on your data. Enables configuration of Line based Dimensions Dynamically add dimensional entities Warehouse Palette

41 Dimensional Customization Align to you business The Warehouse Palette allows the configuration of dimensional attributes about which you want to describe and report on your data. Enables configuration of Line based Dimensions Dynamically add dimensional entities Auto-generate ETL Warehouse Palette

42 <Insert Picture Here> Oracle Insurance Insight 7.0 Prebuilt Overview Confidential Internal Only

43 Easy Access to Data Customization and data access at every level Metrics used in Reports & Dashboards Not all measures in presentation layer used in reports & dashboards Metrics in Subject Areas Only a subset of possible logical measures are exposed in presentation layer Metrics in Logical Layer Aggregations, time series calculations and derived calculated measures can extend physical measures for specific reporting needs Metrics in Physical Warehouse Measures from physical columns from any data source can be mapped directly into the OBIEE repository, creating an even richer reporting environment

44 IDW Overview Model Details Flat File data entry Complete Staging Warehouse Transaction Level (Atomic) All Policy Transaction All Claims Transactions Developed using Oracle Data Modeler Any Relational DB Platform Supported Lines: Commercial Auto Commercial Property Homeowner s Personal Auto Dwelling Fire Aggregations: Earned Premium Transactions Earned Exposure Class Transaction Exposure Class Transaction Earned Exposure Coverage Transactions Exposure Coverage Transaction Claim Claim Expense Claim Daily End of Month Snapshots: EOM Policy EOM Commercial Policy EOM Claim Occurrence EOM Claim Occurrence Claimant Litigation Confidential Internal Only

45 Screen Shots APPENDIX A

46 <Insert Picture Here> Oracle Insurance Industry Issues and Analyst Views Confidential Internal Only

47 Top Business Issues for Insurers Top Business Issues Ways for Carriers to: Grow premium revenue: Expand the product line Build new distribution channels Optimized existing distribution channels Be more profitable: Controlling cost Build straight through processing Outsource business & technology services Source: Celent Analysis 2009

48 BI is a Top Project

49 What Analysts are Saying... "One of the biggest challenges for insurers in implementing business analytics has been the lack of adequate data models and repositories. Solutions that are designed to deal with the complexities and unique characteristics of insurance data can help insurers address these challenges." Matthew Josefowicz, Novarica, Customer Insight, BI Insurance & Technology, Nov 2008 "In a time when insurers will be carefully watching every IT dollar, investment in data mastery solutions will stand out as an opportunity for both short-term gains and long-term strategy.." Jeff Goldberg, Celent, Insurance Data Mastery Strategies, November 2008

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57 The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described for Oracle s products remains at the sole discretion of Oracle.

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