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Analytic Applications in Financial Services Jennifer Toomey Senior Director
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The following is intended to outline our general product direction
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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Agenda Oracle in Financial Services
Industry Challenges in the Spotlight Roadmap to Management Excellence Q&A
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Oracle in Financial Services
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Financial Services Customers Using Oracle Analytic Applications
Banking Capital Markets Insurance
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Investment in Market Leading Analytic Applications for Financial Services
Treasury Services Multidimensional Profitability, Funds Transfer Pricing, Asset Liability Management, Balance Sheet Planning Transactional Analytics, Anti-Money Laundering, Broker/Dealer Compliance Basel II, Economic Capital, Credit Risk, Operational Risk 1998 2005 2006 2007 Activity-Based Management, Funds Transfer Pricing, Financial Services Data Warehouse Customer Analytics, Business Intelligence Financial Consolidations, Budgeting & Planning
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Oracle Analytic Applications for Financial Services
Enterprise Performance Management Customer Insight Governance Risk & Compliance Enterprise Risk Management Governance & Compliance Credit Risk Performance Management Marketing Governance Retail Credit Risk Multidimensional Profitability Portfolio Analytics Compliance Risk Corporate Credit Risk Customer Profitability Marketing Analytics Regulatory Compliance Treasury Risk Funds Transfer Pricing Service Analytics Anti-Money Laundering Market Risk Finance Channel Trading Compliance Asset Liability Management Balance Sheet Planning Channel Usage Broker Compliance Regulatory Capital Budgeting & Forecasting Channel Performance Sales Analytics Fraud Detection Basel II : Credit Risk Consolidation Operational Risk Basel II : Market Risk Accounting Hub Basel II : Operational Risk Economic Capital EC : Credit Risk EC : Market Risk EC : Operational Risk Specialized Analytics Insurance Credit Cards Mortgages
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Oracle Positioned in Leaders Quadrants
Magic Quadrant for Business Intelligence Platforms, 2008 Magic Quadrant for CPM Suites, 2007 Magic Quadrant for Data Warehouse Database Management Systems, 2007 The Magic Quadrant is copyrighted 2008 by Gartner, Inc. and is reused with permission. The Magic Quadrant is a graphical representation of a marketplace at and for a specific time period. It depicts Gartner's analysis of how certain vendors measure against criteria for that marketplace, as defined by Gartner. Gartner does not endorse any vendor, product or service depicted in the Magic Quadrant, and does not advise technology users to select only those vendors placed in the "Leaders" quadrant. The Magic Quadrant is intended solely as a research tool, and is not meant to be a specific guide to action. Gartner disclaims all warranties, express or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. These Magic Quadrant graphics were published by Gartner, Inc. as part of larger research notes and should be evaluated in the context of the entire reports. The Gartner reports are available upon request from Oracle. Sources: Gartner, Inc., “Magic Quadrant for Business Intelligence Platforms, 2008” by James Richardson, Kurt Schlegel, Bill Hostmann, Neil McMurchy, 1 February 2008 Gartner, Inc., “Magic Quadrant for CPM Suites, 2006 “ by Nigel Rayner, Neil Chandler, John E. Van Decker, 19 December 2007 Gartner, Inc., “Magic Quadrant for Data Warehouse Database Management Systems, 2007” by Donald Feinberg and Mark A. Beyer, 10 October 2007
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Reveleus in Risk & Compliance Reveleus Basel II Solution emerges as the market leader
January ‘06 June ‘06 December ‘05 August ‘05 Reveleus was named as a leader in Gartner’s Magic Quadrant Tower Group named Reveleus the “crown jewel” of i-flex and ranked Reveleus Basel II highest Celent group considers Reveleus as the North American Market Leader in Basel space
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Oracle’s Financial Services Strategy
Oracle’s Strategy and Vision is based on the view that the only way to bring a wide range of domain specific software capabilities to market is through: Developing and acquiring the most complete set of “best of breed” functional capabilities available from any one single vendor Pre-integrating these “best of breed” solutions through process based integration to reduce complexity and cost for the customer Standardizing and converging over time the “integrated best of breed” solutions onto a common, open technology architecture Building an ecosystem of system integrators to complement our own capabilities for platform lead implementations 1 2 3 4 11 © 2008 Oracle Corporation – Proprietary and Confidential 11
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Industry Challenges in the Spotlight
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“Confessions of a Risk Manager” The Economist, August 7, 2008 “In banks there is always a bias towards one side of the argument. The business line was more focused on getting a transaction approved than on identifying the risks in what it was proposing. The risk thinking therefore leaned towards giving the benefit of the doubt to the risk-takers.”
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Analytical Challenges
Performance Challenges Compliance Challenges Information not timely enough to evaluate organizational performance Multiple Versions of the truth Inconsistent, measures, targets and accountability Managing returns require risk adjusted insight Overspending on redundant, manual processes Lack of vision around performance management connected to compliance One-off regulatory compliance projects The burden of compliance will only continue to increase Performance Compliance Risk Cust. Insight Challenges Risk Management Challenges No single source of truth for customer data Incomplete view of customer Inability to cross-sell intelligently to customer base No way of tracking or refining campaigns Customer Insight No framework for consistent management and mitigation of risks across enterprise Interrelated risks treated in silos of information Weak business, physical and IT standards to support enterprise risk management Inaccurate and delayed monitoring of key performance and risk indicators
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Problems with Getting Actionable Intelligence
Getting the wrong, too detailed, or insufficiently detailed report “Get me the data that I need” Data sits in multiple places Data is difficult to get at for the business user Data is not formatted or presented in a way that’s relevant to me Getting data or facts, not information Definitions mismatched across reports “Produce the data that I need to help me run my business better” Data from Operational systems only tell part of the story Financial services are about analyzing and risk Getting information that does not make any sense “I don’t trust the data I see” ”My data does not match that of another departments” Definitions are not matched, clean or normalized Data is not reconciled between systems
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Roadmap to Management Excellence
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The Next Wave: Extend Operational Excellence to Management Excellence
Competitive Advantage MANAGEMENT EXCELLENCE OPERATIONAL EXCELLENCE Time
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Oracle EPM System Industry’s First Integrated EPM System
EPM Workspace Performance Management Applications BI Applications Business Intelligence Foundation Fusion Middleware OLTP & ODS Systems Data Warehouse Data Mart OLAP SAP, Oracle, Siebel, PeopleSoft, JDE, Custom Excel XML Business Process
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Market Leading Applications
EPM Workspace Governance Risk & Compliance Enterprise Risk Management Enterprise Performance Management Customer Insight BI Applications Business Intelligence Foundation Fusion Middleware OLTP & ODS Systems Data Warehouse Data Mart OLAP SAP, Oracle, Siebel, PeopleSoft, Custom Excel XML Business Process
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Oracle’s Analytic Applications Vision in Financial Services
Merge Best-of-Breed capability across products Create a single integrated platform Treasury Services Financial Services Business Intelligence Financial Services Analytics Framework Financial Services Data Model 21
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Integrated Analytic Applications for Financial Services
Governance Risk & Compliance Enterprise Risk Management Enterprise Performance Management Customer Insight Financial Services Business Intelligence Embedded Dashboards Alerts Reports Unified Analytical Metadata Financial Services Analytics Framework Integrated Solution Structure Stochastic Modeling Business Rules Purpose Built Engines Common Tools Financial Services Data Model Common Objects Common Dimensions Pre-Integrated and Extensible High Volume 22
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Interconnected, Integrated Analytic Capabilities
Business Intelligence Dashboards, Queries, Reporting Analytic Applications Governance Risk & Compliance Enterprise Risk Management Enterprise Performance Management Customer Insight Credit Risk EC/BASEL Credit Risk Retail/Corp Market Risk Operational Risk & EC Compliance & Fraud Risk Governance Common Assumptions, Calculation Engines Unified Analytical Metadata Profitability & Allocations Budgeting & Planning Funds Transfer Pricing Asset Liability Mgmt CRM Analytics Channel Behavior Risk Performance Customer Insight
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Interconnected, Integrated Analytic Capabilities
Business Intelligence Dashboards, Queries, Reporting Credit Risk EC/BASEL Credit Risk Retail/Corp Market Risk Operational Risk & EC Compliance & Fraud Risk Governance Applications Analytic Capital Adequacy Processes Regulations/Policies Common Assumptions, Calculation Engines Unified Analytical Metadata Multi-Channel Fraud Second Order Analytic Capabilities SOX & Controls RAPM Cash Flow & Pillar 2 Credit & Behavior Scores Transaction Drivers & Costing Customer Profitability Treasury NII, Variance & Scenarios NII Segmentation Variance Future Balance Sheet Profitability & Allocations Budgeting & Planning Funds Transfer Pricing Asset Liability Mgmt CRM Analytics Channel Behavior Analytic Applications Risk Performance Customer Insight
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Oracle Team & Development Method
Single Division Focused on Analytic Applications for Financial Services Significant New Investment in Development Resources Framework Based Approach to Development Common Objects Leveraged Across Solutions Allows greater speed to market E.g. Common retail pooling engine stratifies instrument groups for use in Basel II, ALM, FTP, Economic Capital E.g. Prepayment assumptions defined in single place and leveraged across the suite Business Logic Embedded in Rules Interface Users able to modify calculations to fit their business
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Platform Value Propositions
Comprehensive Covers absolutely all areas of interest to FSIs Customer & Employee Centric 360 degree customer information with full employee connections Best of Breed for FSI Each area is deep and rich, market evidence of cutting edge capability Connected & Integrated across Functions e.g. Profitability and Risk are seamlessly available together for RAPM Consistent across the Enterprise Dimensional and other definitions are commonly shared Pervasive and Actionable across the Business Easily slides into the business processes thru standard interfaces Immediate and Timely Manages near real-time data updates Closed Loop Includes user actions and results in the analysis Industrial Strength Built on Fusion Architecture
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