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Financial Insights With Oracle Business Intelligence Charles Gichobi Technology Manager – E. & Southern Africa Oracle Africa Operations

Oracle Corporation  Largest enterprise software vendor  55,000+ employees  Over 275,000 customers  Global operations

9 of the top 10 oil field services companies run Oracle ERP (Reuters) 15 of the 32 petroleum refining companies in the 2004 Fortune Global 500 run Oracle ERP 6 of the top 7 integrated oil & gas companies run Oracle ERP (Reuters) Oracle in Oil & Gas Did You Know? 7 of the 11 diversified energy companies in the 2004 Fortune Global 500 run Oracle ERP

Oracle Oil & Gas Solutions Enable you to:  Accelerate Asset Development and Deployment  Improve Asset Utilization and Worker Safety  Drive Efficient Planning and Procurement  Optimize Refining and Manufacturing Processes  Streamline Service and Repair Operations Intelligence Technology Service Build Asset Operate Asset Manu- facture Plan / Procure

It’s information that matters. But getting high quality information to decision makers has been challenging.

Enabling the Insight-Driven Enterprise 1.Empower Everyone – Every person is provided with relevant, complete information tailored to their role. 2.Provide Real-time Intelligence – Deliver insight that predicts the best next step, and deliver it in time to influence the business outcome 3.Use Insight to Guide Actions – lead people to take action based on facts to optimize decisions, actions and customer interactions Becoming an insight-driven enterprise will drive the next level of value creation and competitive advantage for organizations.

Businesses Need a Unified View of All Information Monitoring Analysis Reporting Planning GIS

Name/Address Scrubbing Transformation Engine Protracted and complex implementation Escalating maintenance costs Poor and incomplete BI solution Query & Analysis Mining Engine Database OLAP Engine Analytic Apps Reporting Engine Enterprise Reporting PortalPortal ETL Tool Transformation Engine Common Reporting Environment Multi-Vendor, Un-integrated Security? GIS App.

Oracle Business Intelligence Platform Complete and Integrated

Relational Transformation OLAP Data Mining Spatial

Oracle Business Intelligence Platform Complete and Integrated Portal BI Beans Discoverer & Reports Warehouse Builder MapViewer Relational Transformation OLAP Data Mining Spatial

An intuitive ad-hoc query, reporting, analysis, and Web-publishing tool that empowers business users to gain immediate access to information from data marts, data warehouses, and online transaction systems.  Build, Modify, and format Reports  Drag-Drop Layout  Wizard Driven  Dynamic drill, pivot  100% HTML  Centralized Metadata  SQL Function (Analytical, financial, Arithmetic, Logical)  Query Governor  Query re-direction Oracle10G Discoverer Query, Analysis, Reporting, Publish, Personalization & Administration

Easily Create Reports  Drilling and paging  Point & Click Simplicity  Drag & Drop Layout  Interactive Hints  Right-Click For Options  Wizards For Multi-Step Tasks

Over 50+ Graph Types

Answers to the OLAP type Questions “On Demand”  “What are my top ten Customers based on profit?”  “What is the 3 month moving average of my Sales ?”  “What is the cumulative sum of my Revenue by area?”  “How do the number of profit by product this year compare to last year?”  “What is the ranking of my Regions this year compared to last year based on …..?”

Oracle OLAP Multidimensional Calculations  Uni-dimensional “What are my top ten customers?”  Multidimensional ‘What was the percent change in market share for a grouping of my top 20% of products for the current three month period versus same period year ago for accounts which grew by more than 20 percent in revenue”

Dimensional Model Time Product Customer Sales Aggregation Rules Allocation Rules Forecast Rules Product Share Sales Year to Date Profit Average Selling Price Item Brand Manufacturer MonthQuarterYear

Oracle Data Mining  Oracle Data Mining (ODM) sifts through massive amounts of data to find hidden patterns and information — valuable information that can help you better understand your customers and anticipate their behavior  ODM insights can be revealing, significant, and valuable e.g. – Predict which customers are likely to churn – Discover what factors are involved with a certain disease – Identify fraudulent behavior

Data Mining Examples  Typical problems addressed by data mining include: What is the probability that a person will… – Buy product X (Marketing) – Stop buying my product and start buying a rival’s product (Churn) – Default on a loan (Credit Risk) – Submit a false insurance claim (Fraud) – Predict parts failure – Contract a certain type of Leukemia (Life Sciences)

Enterprise Bus. Intelligence Suite Open, Extensible, Best-of-Breed, Integrated Common Enterprise Information Model Unified Business Intelligence Infrastructure Data Integration Query & AnalysisDashboardsReportingCollaboration Balanced Scorecard Guided Analytics Activity Monitoring Intelligent Workflow Real Time & Predictive

For More Information  Database and Options ml ml  Middleware and Options re/index.html re/index.html  Business Intelligence s-intelligence/index.html s-intelligence/index.html

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