1
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
<Insert Picture Here>
Oracle BI Suite EE
Agenda
• Introduction
• Oracle BI Standard Edition
• Oracle BI Enterprise Edition
4
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
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Key Trend: Move to Prepackaged BI Apps
8000
7000
6000
5000
4000
3000
Source: IDC, 2005
2000
1000
0
20
00
20
01
20
02
20
03
20
04
20
05
20
06
20
07
20
08
20
09
$M
BI Tools
Analytic Apps
“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
“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 reinfrastructure 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.
Objective
 Efficient and effective allocation of capital for
network safety & capacity improvements
 Eliminate guesswork from allocating
maintenance dollars
 Comply with government inspections
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
Agenda
• Introduction
• Oracle BI Standard Edition
• Oracle BI Enterprise Edition
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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
Siebel Business
Analytics Platform
XML Publisher
EE
Next BI SE Releases
1. Continue, with lifetime support
2. SE Interoperation with EE
3. Migration Utilities & Techniques
Oracle BI
Enterprise Edition
•BI Server EE
•Answers
•Dashboards
•BI Publisher
•Delivers
•Disconnected Analytics
•MS Office Add-In
Next BI EE Releases
Next BI Publisher
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
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Release Highlights
Phased Product Roadmap – BI SE
• 10.1.2.2
• User defined custom members
• New graph presentation styles
• Excel writeback capability
• 10.1.2.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
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Options for Discoverer customers
1. Stay on BI SE (Discoverer) forever
• New releases and functionality planned
• Dedicated development team
• Covered by Oracle’s lifetime support policy
• No forced migration
2. 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
3. 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
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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
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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,
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2007
Agenda
• Introduction
• Oracle BI Standard Edition
• Oracle BI Enterprise Edition
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Oracle BI Suite Enterprise Edition
Unified Business Intelligence Infrastructure
Interactive
Dashboards
Reporting &
Publishing
Ad-hoc
Analysis
Proactive
Detection
and Alerts
Disconnected
Analytics
MS Office
Plug-in
Simplified Business Model and Abstraction Layer
Oracle
BI Server
Intelligent Caching Services
Multidimensional Calculation and Integration Engine
Intelligent Request Generation and Optimized Data Access Services
OLTP & ODS
Systems
Data Warehouse
Data Mart
SAP, Oracle
PeopleSoft, Siebel,
Custom Apps
Files
Excel
XML
Business
Process
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Hot Pluggable
Open, Integrate with Existing Investments
Portals
Analytic Tools
Any JSR 168
Portal
BOBJ, COGN
MSTR
Reporting
Desktop Tools
Actuate, Oracle
Apache FOS
Excel, Outlook,
Lotus Notes
BI Server
Common Enterprise Information Model
Security
Oracle
Kerberos
Custom
MSFT AD
iPlanet
Novell
Others ..
Data Access
Oracle RDBMS
Oracle OLAP Option
IBM DB2
Microsoft SQL Server
& Analysis Services
Teradata
SAP BW
XML, Excel, Text
Others ..
ETL
Oracle
Informatica
Ascential
Sunopsis
Others ..
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BI Publisher: For all your business
documents
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BI Publisher: Highly formatted
reporting
EFT
Payment Data
Banking
EFT
Excel
Controller
HTML
XML Publisher
CEO
PDF
XML
XSL
Different Templates
For different Output Formats
Government
XML
B2B
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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
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Map to Data Sources
Physical Data Source Mapping
•Dimensions
•Hierarchies
•Measures
•Partitioning
•Aggregation
Rules
•Time Series
Semantic Object Layer
•Caching
•Mapping
Data Model Map (SQL Gen Metadata)
Physical Data Sources
OLTP &
ODS
Systems
Data Warehouse
Data Mart
SAP, Oracle
PSFT, Siebel
Custom Apps
Mainframe
Distributed Query
Files
Excel
Lotus
Business
Process
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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
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Intelligent Federation and Navigation
BI Server
Common Enterprise Information Model
Revenue
2005 Data
Quota
Jan-June 2006 Data
July 2006
Quota
Disparate System
Disparate System
Disparate Systems
Aggregated Data
Oracle OLAP
Option
Region
Quota
Spreadsheet
Star Schema
Data warehouse
Detail Data (Transaction Level)
Transaction
ERP System
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Intelligent Federation and Navigation
“Show me Revenue against Quota for All Regions in 2005”
BI Server
Common Enterprise Information Model
Revenue
2005 Data
Quota
Jan-June 2006 Data
July 2006
Quota
Disparate System
Disparate System
Disparate Systems
Aggregated Data
Oracle OLAP
Option
Region
Quota
Spreadsheet
Star Schema
Data warehouse
Detail Data (Transaction Level)
Transaction
ERP System
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Intelligent Federation and Navigation
“Show me Revenue against Quota for All Regions in 2005”
Oracle Dashboard
Oracle Answers
Oracle XML Publisher
BI Server
3rd Party Reporting
Common Enterprise Information Model
Revenue
2005 Data
Quota
Jan-June 2006 Data
July 2006
Quota
Disparate System
Disparate System
Disparate Systems
Aggregated Data
Oracle OLAP
Option
Region
Quota
Spreadsheet
Star Schema
Data warehouse
Detail Data (Transaction Level)
Transaction
ERP System
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Intelligent Federation and Navigation
“Show me Revenue against Quota for All Regions in June 2006”
BI Server
Common Enterprise Information Model
Revenue
2005 Data
Quota
Jan-June 2006 Data
July 2006
Quota
Disparate System
Disparate System
Disparate Systems
Aggregated Data
Oracle OLAP
Option
Region
Quota
Spreadsheet
Star Schema
Data warehouse
Detail Data (Transaction Level)
Transaction
ERP System
27
Intelligent Federation and Navigation
“Show me Revenue against Quota for All Regions in June 2006”
Oracle Dashboard
Oracle Answers
Oracle XML Publisher
BI Server
3rd Party Reporting
Common Enterprise Information Model
Revenue
2005 Data
Quota
Jan-June 2006 Data
July 2006
Quota
Disparate System
Disparate System
Disparate Systems
Aggregated Data
Oracle OLAP
Option
Region
Quota
Spreadsheet
Star Schema
Data warehouse
Detail Data (Transaction Level)
Transaction
ERP System
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Intelligent Federation and Navigation
“Show me Revenue against Quota for All Regions in July 2006”
BI Server
Common Enterprise Information Model
Revenue
2005 Data
Quota
Jan-June 2006 Data
July 2006
Quota
Disparate System
Disparate System
Disparate Systems
Aggregated Data
Oracle OLAP
Option
Region
Quota
Spreadsheet
Star Schema
Data warehouse
Detail Data (Transaction Level)
Transaction
ERP System
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Intelligent Federation and Navigation
“Show me Revenue against Quota for All Regions in July 2006”
Oracle Dashboard
Oracle Answers
Oracle XML Publisher
BI Server
3rd Party Reporting
Common Enterprise Information Model
Revenue
2005 Data
Quota
Jan-June 2006 Data
July 2006
Quota
Disparate System
Disparate System
Disparate Systems
Aggregated Data
Oracle OLAP
Option
Region
Quota
Spreadsheet
Star Schema
Data warehouse
Detail Data (Transaction Level)
Transaction
ERP System
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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
from
"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
from
"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]
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Oracle BI Server
Exploiting Native Database Functionality
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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
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Predict
“Intelligent Fabric” - Real Time Decisions & Predictive Analytics
ERP, CRM Apps
Real Time Decisions
Predictive Models
Self Learning Data Mining
Bus. Process
User Event Capture
Semantic Objects
Data Mining
Self-Service Apps
34
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
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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.
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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
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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
E-Mail, Page
Insight Driven Action
BPEL PM
Conditional Rules
On-Page Alerts
& Actions
Recommended Action
Action BOT
Human Workflow
Business Processes
Business Rules
SAP, Oracle
PSFT, Siebel
Enterprise Connectivity
Embedded
Actions
39
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
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Oracle BI Applications
Multi-Source Analytics with Single Architecture
Auto
Comms
& Media
Complex Consumer
Sector
Mfg
Sales
Service &
Contact
Center
Pipeline
Analysis
Energy
Financial
Services
High
Tech
Insurance
Life
& Health Sciences
Public
Sector
Travel
& Trans
Marketing
Order
Management
& Fulfillment
Supply
Chain
Financials
Human
Resources
Churn
Propensity
Campaign
Scorecard
Order
Linearity
Supplier
Performance
A/R & A/P
Analysis
Employee
Productivity
Triangulated
Forecasting
Customer
Satisfaction
Response
Rates
Orders
vs. Available
Inventory
Spend
Analysis
Sales Team
Effectiveness
Resolution
Rates
Product
Propensity
Cycle Time
Analysis
Procurement
Cycle Times
Customer
& Product
Profitability
HR Compliance
Reporting
Up-sell /
Cross-sell
Service Rep
Effectiveness
Loyalty and
Attrition
Backlog
Analysis
Inventory
Availability
P&L Analysis
Workforce
Profile
Cycle Time
Analysis
Service Cost
Analysis
Market Basket
Analysis
Fulfillment
Status
Employee
Expenses
Expense
Management
Turnover
Trends
Lead
Conversion
Service
Trends
Campaign ROI
Customer
Receivables
BOM Analysis
Cash Flow
Analysis
Return on
Human Capital
GL / Balance Compensation
Sheet Analysis
Analysis
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:
1. Build custom BI apps
2. Buy Oracle BI Apps
3. 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
Specific Metrics
& Dashboards
DW Design Mod
Pre-built ETL
Tailoring
Quarters or Years
Role-based dashboards and alerts
Thousands of pre-defined metrics
Prebuilt DW design
Adaptable to your enterprise DW
Prebuilt ETL Business Adapters for Siebel,
Oracle, PeopleSoft, SAP, others
Weeks or months
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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.
•
Disconnected
•
BI Server
•
Disconnected Metadata & Report Definitions
Business Model
Server Cache
Calculations
Web Catalog
Presentation
Metadata
Oracle
Disconnected
Oracle
Data
Operational
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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
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In Summary
• Introduction
• 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
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