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Safe Harbor Statement 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

Oracle BI Suite EE

Agenda Introduction Oracle BI Standard Edition
Oracle BI Enterprise Edition 4

Business Intelligence is a Top Priority
#1 Priority in 2006 Gartner CIO Survey Consistent Top Priority in Merrill Lynch CIO Survey Source: Merrill Lynch survey of 100 North American CIOs 5

The Value of Business Intelligence
Visibility, Transparency Compliance Profitability Customer differentiation 6

Typical BI Challenges Faced by Organizations Today
Siloed BI deployments across apps and departments Fragmented view of information No consistent definition of business metrics Are metrics such as product profitability, customer lifetime value, and marketing campaign ROI calculated consistently? Each analyst with a BI tool may have their own answer Report-centric model with backlog of new requests in IT Top management requests get first priority, while needs of other Business users go unmet Few users have timely and actionable information needed to optimize actions and decisions Particularly middle management and “front line” users BI the Wrong Way (Typical Challenges BI information silos Multiple BI tools and architectures across applications and departments Multiple data warehouses and data marts No single consistent view of information or consistent definition of business metrics “How does your team define customer profitability?” Backload of requests for new reports in IT Requests of top management get priority Needs of other Business users -- middle management and “front line” users -- go unmet Report-centric vs. intelligence driving workflow and business processes 7

Key Trend: Move to Prepackaged BI Apps
Source: IDC, 2005 “From now through 2009, there will be a trend toward buying prepackaged BI applications… (0.7 probability)” Source: Gartner, “Business Intelligence Scenario: Pervasive BI,” Gartner Symposium ITxpo 2006 8

Reducing Expenses at Union Pacific Railroad
Objective Efficient and effective allocation of capital for network safety & capacity improvements Eliminate guesswork from allocating maintenance dollars Comply with government inspections “The Siebel Business Analytics solution enables more informed and precise business decisions regarding how the railroad spends hundreds of millions of dollars budgeted yearly for capital re-infrastructure projects. The payback in terms of dollars saved, increased use of existing information assets and employees understanding of key business benchmarks … have been significant.” – Jim Holder, Director of Engineering Systems at Union Pacific Railroad. Solution Analytics Everywhere: 4,000+ users accessing multiple terabytes of data spanning DB2, Oracle, and Teradata Analyze track usage information and send maintenance alerts before problems arise 300+ analytic apps total: Maintenance, Safety, Business Performance Management Results Maintenance issues detected before track shutdowns are required Improved on-time deliveries, customer sat Reduced operating expenses 9

1. Continue, with lifetime support
BI Suites SE and EE Discoverer SE Oracle BI Standard Edition Discoverer Plus Discoverer Plus OLAP Discoverer Viewer Oracle Reports BI Beans Spreadsheet Add-In Next BI SE Releases 1. Continue, with lifetime support 2. SE Interoperation with EE 3. Migration Utilities & Techniques Siebel Business Analytics Platform EE Oracle BI Enterprise Edition Next BI EE Releases BI Server EE Answers Dashboards XML Publisher BI Publisher Delivers Disconnected Analytics Next BI Publisher MS Office Add-In Releases This information is not a commitment to deliver and material, code, or functionality. The development, release and timing of any features described remains at the sole discretion of Oracle 11

Release Highlights Phased Product Roadmap – BI SE
User defined custom members New graph presentation styles Excel writeback capability X Enhanced custom members 11g Integration with Answers, Dashboards and Delivers Migration utilities and methodologies This information is not a commitment to deliver and material, code, or functionality. The development, release and timing of any features described remains at the sole discretion of Oracle 12

Options for Discoverer customers
Stay on BI SE (Discoverer) forever New releases and functionality planned Dedicated development team Covered by Oracle’s lifetime support policy No forced migration Use Discoverer with BI EE to gain new functionality (future) Discoverer integration with BI Publisher Discoverer worksheets surfaced in Dashboards BI EE Delivers using Discoverer worksheets Migrate SE to EE (future) Metadata and workbook migration facilities, methodology and consulting services This information is not a commitment to deliver and material, code, or functionality. The development, release and timing of any features described remains at the sole discretion of Oracle 13

Oracle and Hyperion Oracle’s BI Strategy is to offer not only an Oracle only solution, but a best of breed solution that works with Oracle and non-Oracle sources Hyperion has products which complement Oracle’s product offering, including best in class Performance management software Enterprise planning solutions Multi-source OLAP server technology 14

Magic Quadrant for Business Intelligence Platforms,1Q07
* Magic Quadrant Disclaimer The Magic Quadrant is copyrighted January 26, 2007 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 Gartners 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. This Magic Quadrant graphic was published by Gartner, Inc. as part of a larger research note and should be evaluated in the context of the entire report. The Gartner report is available upon request from Oracle. “Gartner Magic Quadrant for Business Intelligence Platforms, 1Q07”, Kurt Schlegel, Bill Hostmann, Andreas Bitterer, January 26, 2007 15

Oracle BI Suite Enterprise Edition Unified Business Intelligence Infrastructure
BI Server Proactive Detection and Alerts Disconnected Analytics Ad-hoc Analysis MS Office Plug-in Reporting & Publishing Interactive Dashboards OLTP & ODS Systems Data Warehouse Data Mart SAP, Oracle PeopleSoft, Siebel, Custom Apps Files Excel XML Business Process Multidimensional Calculation and Integration Engine Intelligent Caching Services Simplified Business Model and Abstraction Layer Intelligent Request Generation and Optimized Data Access Services The 17

Hot Pluggable Open, Integrate with Existing Investments
Portals Analytic Tools Reporting Desktop Tools Any JSR 168 Portal BOBJ, COGN MSTR Actuate, Oracle Apache FOS Excel, Outlook, Lotus Notes BI Server Common Enterprise Information Model Security Data Access ETL Oracle RDBMS Oracle OLAP Option IBM DB2 Microsoft SQL Server & Analysis Services Teradata SAP BW XML, Excel, Text Others .. Oracle Kerberos Custom MSFT AD iPlanet Novell Others .. Oracle Informatica Ascential Sunopsis Others .. 18

BI Publisher: For all your business documents
Many customers today have very strong business requirements in the reporting area around the e-Business Suite. These include: High Fidelity Reports: These reports are rich in images, charts, multiple fonts and color are a very desirable feature for reports when they are to be distributed in and outside the company. Partner Reports These include Invoices, Purchase Orders and Checks, which require ‘rich’ content and are currently highly customized. Financial Statements Financial statements need to be presented to shareholders and upper management in a high fidelity format; your accounts would rather see them in Microsoft Excel. Government Forms Many government agencies now demand that you interact with them in a specific format e.g. tax forms. Marketing Materials The marketing materials generated by companies require rich personalized content. Contracts Interacting with your customers and suppliers often requires written contracts that need to be presented in a high fidelity format. Checks The checks you send to employees and suppliers require a specific format and even ink so that their banks are able to process them. Labels Any company generating product will need to label it often including a barcode. XML B2B interaction requires XML as the format and this may require a transformation of one xml format to another. EFT/EDI Electronic File Transfer (EFT) and (EDI) are formats used to communicate with your banks and partners. Multiple Destinations Of course all of these documents then need to be delivered to a report consumer be that via , fax or printer. 19 19 19

BI Publisher: Highly formatted reporting
EFT Payment Data Banking EFT Controller Excel XML Publisher CEO HTML PDF Extract Once – Publish Multiple Times XML Publisher has the ability to publish multiple times using the same data source. For instance, a company can generate its payment data in a single data extraction program. From that they can generate: Electronic Funds Transfer (EFT) to communicate to banks to make payments to suppliers Excel – Accountants and controllers are able to get the payment data into Excel for further analysis HTML – Payment data can be published to a company portal via HTML PDF – Government reporting requires the PDF format for communication XML – for B2B communication XML is fast becoming the de-facto standard With the use of different layout templates XML Publisher simplifies the reporting architecture for customers. Government XML XSL B2B XML Different Templates For different Output Formats 20

Product Strategy Key Differentiators
Enterprise Semantic Model Model Centric vs. Report Centric Analytics Pervasive Business Insight Empower Business Users with Embedded Insight Real Time Predictive Insight Activity Monitoring and Predictive Analytics Insight Driven Actions Contextual Visualization with Guided Decisions Business Process Optimization Sense & Respond with Intelligent Business Processes Fastest Time to Value Pre-Packaged Analytic Applications 21

Map to Data Sources Physical Data Source Mapping
Dimensions Hierarchies Measures Partitioning Aggregation Rules Time Series Caching Mapping Semantic Object Layer Data Model Map (SQL Gen Metadata) Physical Data Sources Distributed Query OLTP & ODS Systems Data Warehouse Data Mart SAP, Oracle PSFT, Siebel Custom Apps Mainframe Files Excel Lotus Business Process 22

Oracle Business Intelligence Server Key Review Points:
Oracle BI Server is data source agnostic Oracle, DB2, MS SQL Server, Teradata, ODBC, XML, XMLA (MS Analysis Services , SAP/BW), etc… Generates target specific SQL Crosses, integrates and aggregates data sources on middle tier only where required 23

Intelligent Federation and Navigation
BI Server Common Enterprise Information Model Revenue Quota 2005 Data Jan-June 2006 Data Disparate System July 2006 Disparate System Quota Disparate Systems Aggregated Data Region Quota Spreadsheet Oracle OLAP Option Star Schema Data warehouse Detail Data (Transaction Level) Transaction ERP System 24

“Show me Revenue against Quota for All Regions in 2005” BI Server Common Enterprise Information Model Revenue Quota 2005 Data Jan-June 2006 Data Disparate System July 2006 Disparate System Quota Disparate Systems Aggregated Data Region Quota Spreadsheet Oracle OLAP Option Star Schema Data warehouse Detail Data (Transaction Level) Transaction ERP System 25

“Show me Revenue against Quota for All Regions in 2005” Oracle Dashboard Oracle Answers Oracle XML Publisher 3rd Party Reporting BI Server Common Enterprise Information Model Revenue Quota 2005 Data Jan-June 2006 Data Disparate System July 2006 Disparate System Quota Disparate Systems Aggregated Data Region Quota Spreadsheet Oracle OLAP Option Star Schema Data warehouse Detail Data (Transaction Level) Transaction ERP System 26

“Show me Revenue against Quota for All Regions in June 2006” BI Server Common Enterprise Information Model Revenue Quota 2005 Data Jan-June 2006 Data Disparate System July 2006 Disparate System Quota Disparate Systems Aggregated Data Region Quota Spreadsheet Oracle OLAP Option Star Schema Data warehouse Detail Data (Transaction Level) Transaction ERP System 27

“Show me Revenue against Quota for All Regions in June 2006” Oracle Dashboard Oracle Answers Oracle XML Publisher 3rd Party Reporting BI Server Common Enterprise Information Model Revenue Quota 2005 Data Jan-June 2006 Data Disparate System July 2006 Disparate System Quota Disparate Systems Aggregated Data Region Quota Spreadsheet Oracle OLAP Option Star Schema Data warehouse Detail Data (Transaction Level) Transaction ERP System 28

“Show me Revenue against Quota for All Regions in July 2006” BI Server Common Enterprise Information Model Revenue Quota 2005 Data Jan-June 2006 Data Disparate System July 2006 Disparate System Quota Disparate Systems Aggregated Data Region Quota Spreadsheet Oracle OLAP Option Star Schema Data warehouse Detail Data (Transaction Level) Transaction ERP System 29

“Show me Revenue against Quota for All Regions in July 2006” Oracle Dashboard Oracle Answers Oracle XML Publisher 3rd Party Reporting BI Server Common Enterprise Information Model Revenue Quota 2005 Data Jan-June 2006 Data Disparate System July 2006 Disparate System Quota Disparate Systems Aggregated Data Region Quota Spreadsheet Oracle OLAP Option Star Schema Data warehouse Detail Data (Transaction Level) Transaction ERP System 30

Oracle BI Server Optimized Native SQL Rewrites
select distinct D1.c2 as c1, Rank() OVER ( ORDER BY D1.c1 DESC ) as c2 from (select sum(T677."ActlExtnd") as c1, T699."District" as c2 "d1_customer" T699, "d1_orders" T677 where ( T677."repkey" = T699."SalesRep" ) group by T699."District") D1 order by 1 select D1.c2 as c1, D1.c1 as c4 from (select sum(T1397."ActlExtnd") as c1, T1384."District" as c2 "D1_customer" T1384, "D1_orders" T1397 where ( T1384."repkey" = T1397."SalesRep" ) group by T1384."District" ) D1 [Rank Calculation Performed on Oracle BI Server To Compensate for the Limitations of MS SQL Server] 31

Oracle BI Server Exploiting Native Database Functionality
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Self Learning Data Mining
Predict “Intelligent Fabric” - Real Time Decisions & Predictive Analytics ERP, CRM Apps Real Time Decisions Predictive Models Self Learning Data Mining User Event Capture Bus. Process Semantic Objects Data Mining Self-Service Apps 34

Guided Analytics Leading Users from Discovery to Action
This is no longer about a stack of reports. Guided Analytics drives alignment and actions through the organization by modeling and making accessible discovery and decision making best practices. 36

Sense and Respond Real-Time Proactive Monitoring and Response
Delivers/Analytic Agents provides true real-time in context sense and respond capabilities across systems tailored for any user on any device. 38

Respond Insight Driven Analytic Process Flows
Actionable , Page Insight Driven Action BPEL PM Conditional Rules Human Workflow Business Processes Enterprise Connectivity Business Rules On-Page Alerts & Actions Recommended Action Action BOT SAP, Oracle PSFT, Siebel Embedded Actions 39

Oracle BI Applications Multi-Source Analytics with Single Architecture
Auto Comms & Media Complex Mfg Consumer Sector Energy Financial Services High Tech Insurance & Health Life Sciences Public Sector Travel & Trans Sales Service & Contact Center Marketing Order Management & Fulfillment Supply Chain Financials Human Resources Pipeline Analysis Triangulated Forecasting Sales Team Effectiveness Up-sell / Cross-sell Cycle Time Analysis Lead Conversion Churn Propensity Customer Satisfaction Resolution Rates Service Rep Effectiveness Service Cost Analysis Service Trends Campaign Scorecard Response Rates Product Propensity Loyalty and Attrition Market Basket Analysis Campaign ROI Order Linearity Orders vs. Available Inventory Cycle Time Analysis Backlog Analysis Fulfillment Status Customer Receivables Supplier Performance Spend Analysis Procurement Cycle Times Inventory Availability Employee Expenses BOM Analysis A/R & A/P Analysis GL / Balance Sheet Analysis Customer & Product Profitability P&L Analysis Expense Management Cash Flow Analysis Employee Productivity Compensation Analysis HR Compliance Reporting Workforce Profile Turnover Trends Return on Human Capital Other Operational & Analytic Sources Prebuilt adapters: Oracle BI Suite Enterprise Edition 41

Benefit from Oracle BI Applications while maintaining single BI architecture
Build from Scratch with Traditional BI Tools Oracle BI Applications With BI Suite EE you can: Build custom BI apps Buy Oracle BI Apps Do a mix of both Training & Roll-out Define Metrics & Dashboards Faster deployment Lower TCO Assured business value DW Design Back-end ETL and Mapping Training & Rollout Role-based dashboards and alerts Thousands of pre-defined metrics Specific Metrics & Dashboards Prebuilt DW design Adaptable to your enterprise DW DW Design Mod Pre-built ETL Tailoring Prebuilt ETL Business Adapters for Siebel, Oracle, PeopleSoft, SAP, others Quarters or Years Weeks or months 42

Oracle Disconnected Analytics Full-Featured Disconnected Client
The user experience is identical to the connected user. Dashboard and Answers functionality will act identically as if the user were connected to the server. Oracle Operational Disconnected Data Disconnected Metadata & Report Definitions Web Catalog Presentation Metadata Business Model Disconnected BI Server Server Cache Calculations 43

Business Intelligence Customers BI Tools & Applications – Select References
Communications Automotive Finance / Banking Consumer Goods High Tech Media / Energy Aero / Industrial Insurance / Health Life Sciences Other There are more than 700 Siebel Analytics customers. While typical BI vendors can only reach up to 15-16% usage ratio - BI users against the total user population, Siebel analytic apps easily reach 50-70% ratio. The primary reason for that is that the solution is integrated with the business processes rather than a stand alone BI solution. 44

In Summary Introduction Oracle BI Standard Edition
Growing BI Market, with #1 mindshare Oracle BI Standard Edition Protect, Extend, Evolve Oracle BI Enterprise Edition Comprehensive BI platform that works with all relevant enterprise data sources 45

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