Insert Picture Here Insert Picture Here Essbase

<Insert Picture Here> Essbase Overview Jim Kubik Senior Sales Consultant

Agenda • What is Essbase? • Essbase Key Features/Benefits/Use Cases • User Experience •

Jim’s Hotel • How would you “view” the business? ? © 2009 Oracle Corporation

<Insert Picture Here> Spreadmart Hell? © 2009 Oracle Corporation – Proprietary and Confidential

Most Modeling is Done Here! It is the right tool, but… • • © 2009 Oracle Corporation – Proprietary and Confidential Disconnected Data Security Risks Error-prone Doesn’t scale No controls / audit trails Multiple calculations Spreadsheets are inefficient for more than two dimensions

Business is more than “ 2 D” Market Time Product • We typically look at more than two dimensions (multidimensional) • So what do we do? • Add more column headers! • In our example: • “Total” Market BY “Total” Product, Actual Sales for Qtr 1 = 95, 820 • Creates HEADACHES! Scenario Measures © 2009 Oracle Corporation – Proprietary and Confidential

Multi-Sheet = Nightmare • How about by Brand by Market? • 5 Brands BY 500 Properties = 2500 Sheets! • What about by Location too? • Welcome to “Spreadsheet Hell” © 2009 Oracle Corporation – Proprietary and Confidential

Solution? ? ? © 2009 Oracle Corporation – Proprietary and Confidential

Essbase • OLAP Database • • Dimensional “cube” of information The “By’s” of the company, How you “see” the Business Ability to “slice n dice” the data • Essbase is commonly used to • • • Combine multiple sources of disparate data Analyze summarized data Provide an intuitive data model “What If” and predictive analysis “Speed of thought” Satisfy the needs of a variety of users • Executives, managers, analysts & other business users • From power users to novices © 2009 Oracle Corporation – Proprietary and Confidential

Essbase Provides the Best of Both Worlds Oracle Essbase • Use the same familiar tools, Excel, Word, Power. Point • Achieve Speed of Thought response time • Benefit from a centralized enterprise-scale solution © 2009 Oracle Corporation – Proprietary and Confidential

Dimension Hierarchies • Dimensions are typically hierarchical in nature • Allows user to “drill down” on values for greater detail Year Brands Quarter 1 Properties Upperscale January Pointview February JK 3 March Quarter 2 April © 2009 Oracle Corporation – Proprietary and Confidential Middle scale Hotel 13 West CA East CT NY

Database Outline • Tree structure for dimension hierarchies • Consolidations and mathematical relationships between members • Alternate & Ragged Hierarchies support • Time and Financial intelligence © 2009 Oracle Corporation – Proprietary and Confidential

BI Tools Are Designed for Reporting Essbase is Tuned for Analysis Reporting Analysis Which customers spend the most? Which customers are most profitable? What did this customer buy? What is the customer likely to buy next? What is the Q 4 revenue forecast? What if demand falls short of forecast? © 2009 Oracle Corporation – Proprietary and Confidential

Key Features • One Version of the Truth • One Place to create and maintain business rules and calculations • Get away from spreadsheet chaos. • Speed-of-thought analysis for thousands of concurrent users • Premium Performance & Optimized Storage • Write Back capability • Time and Financial intelligence • Mission-critical applications • Powerful Querying and Complex Calculations • Enterprise scale Forward Looking Applications • Robust Write-back & Security • Ease of development, deployment and maintenance © 2009 Oracle Corporation – Proprietary and Confidential

No More Spreadsheet Chaos Improved Performance Visibility and Service Quality Third largest pizza chain in the US 3000 locations worldwide More than $1 billion in sales Before After § Excel – cumbersome, manually maintained (store managers phoned in results) § Data discrepancies, low confidence in the numbers § No standard set of performance measures, lack of detail for analysis § Operators and managers spent a lot of time gathering data, less on running the business § Improved availability of data (from hours to 30 minutes) § Standard set of measures § Improved quality of service (order completeness improved, “out the door“ time reduced 10%, higher customer satisfaction scores) § Faster identification and reaction to theft issues Copyright © 2009, Oracle and / or its affiliates. All rghts reserved. © 2009 Oracle Corporation – Proprietary and Confidential 20

Write-Back provides an “Analytic “Sandbox” 1. Choose the intersection 2. Type the updated data

Forward Looking Applications • A spectrum of analyses “Predictive Analytics … is where Business Intelligence is going. ” © 2009 Oracle Corporation – Proprietary and Confidential • • Trending Forecasting Scenario modeling What if testing Goal seeking OLAP mining Hyperion Planning HPCM

Analytic Scalability Enterprise-wide Sales & Marketing Development & Delivery © 2009 Oracle Corporation –

Essbase @ Merchandise Planning • Widely Deployed • • • International Finance Merchandise Real Estate Daily Sales Reporting Human Resources • Supplier Collaboration • Buyers, Suppliers, Etc. © 2009 Oracle Corporation – Proprietary and Confidential • Merchandise Details • Model to SKU • 0. 5 TB Input Values • 30 Billion Values @ Sub-second

Key Enabler for the Oracle EPM System Ad-hoc Analysis Interactive Dashboards Reporting & Publishing Detect & Alert Disconnected Analytics Office Integration PERVASIVE INFORMATION ACCESS STRATEGIC PLANNING & BUDGETING FINANCIAL CLOSE PROFITABILITY MANAGEMENT ERP ANALYTICS CRM ANALYTICS INDUSTRY ANALYTICS COMMON ANALYTIC FOUNDATION • • Forward-Looking Analytic Engine Multi-user Write-back Financial Intelligence Enterprise Dimension Management OLTP & ODS Systems Data Warehouse Data Mart Copyright © 2009, Oracle and / or its affiliates. All rights reserved. © 2009 Oracle Corporation – Proprietary and Confidential • • OLAP Single Enterprise Information Model Conformed Dimensions Federated Query Intelligent Caching Oracle, Siebel, People. Soft JD Edwards, SAP, Custom Excel XML Business Process 28

Dashboard Consumption • • • 100% thin client Ad-hoc report creation Packaged and customized dashboards Combining relational and OLAP data Consistent semantic definition across reports © 2009 Oracle Corporation – Proprietary and Confidential

Reporting Reports and Books Standard Financial Web Distributed © 2009 Oracle Corporation – Proprietary

Oracle EPM Smart View Advanced Office Integration • Capabilities across: • • • Excel Word Power. Point Outlook Ad-hoc and free form analysis Function-based grids Dynamic data points Multi-source reporting Application forms EPM content import © 2009 Oracle Corporation – Proprietary and Confidential 34

Visualize and Explore - Moving from Data to Insight In a single click see patterns that are not apparent by just looking at numbers: P. Copyright © 2005, – Proprietary and Confidential © 2009 Oracle Corporation Hyperion. All rights reserved. 35

Demonstration © 2009 Oracle Corporation – Proprietary and Confidential

<Insert Picture Here> Essbase Sweet Spots • Spreadsheet Hell • Modeling / Looking into the Future • Ad hoc Financial Analysis • Profitability Analysis © 2009 Oracle Corporation – Proprietary and Confidential

You are invited to a complimentary Oracle Essbase hands on workshop • Drive 'what-if' scenarios to analyze alternatives • Identify exceptions, trends and outliers with advanced presentation and visualization tools • Slice and dice through data at the speed of thought • Understand why thousands of organizations depend on the power of Essbase • Assess how your organization could benefit from using Essbase © 2009 Oracle Corporation – Proprietary and Confidential <Insert Picture Here>

Questions © 2009 Oracle Corporation – Proprietary and Confidential

Jim. Kubik@Oracle. com © 2009 Oracle Corporation – Proprietary and Confidential

Accolades along the way …… Top Ten Most Influential Technology Innovations “ Essbase: The multi-dimensional database technology that put online analytical processing (OLAP) on the business intelligence map. Developed by Arbor Software, it spurred the creation of scores of rival OLAP products - and billions of OLAP cubes” Information Age Magazine August 2005 © 2009 Oracle Corporation – Proprietary and Confidential