Oracle Business Intelligence &
Data Warehousing Overview
Sankar Bala
DW/BI Specialist
Sankar.bala@oracle.com
469.583.0261

Business Analytics
Information
Made
Powerful
• Automated management reporting
• KPIs
• Driver based forecasting
• Near real-time view of business
• Actionable projections
• Performance Management / measurable accountability to results
Data Collection
Enterprise Data Warehouse
Operations
Data
Finance
Data
Sales/Inv
Data
Data Made
Meaningful
• Standardize business logic and rules
• Process controls & data integrity
• Single source of data
• Official source for financial, sales, operational and management reporting
Source Systems
Raw Data
• Legacy systems with a long heritage
• Mission critical applications (ERP,
Billing, Merchandising, etc…)
• Data is made meaningful when there are standardized definitions, process controls and a focus on data integrity
• Information is made powerful when this transformed data is used by management to improve business efficiency

Realizing your corporate Strategy will require the integration of people, process and technology
Legacy
Environment
Success criteria:
• Business Strategy
•Improve Top Line Sales
•Improve Margin
•Increase customer service
•Increase accountability
• People
•Actionable Information
•Accessibility of Information
•Varying skill levels
Business Strategy
People
Processes
Technology
New BI
Solution
• Processes
•Data Quality
•Standard Business Language
•Standard Metrics & KPI’s
• Technology
•Scalability
•Stability
•Flexibility
•Mainstream

Oracle Warehouse Builder
Informatica PowerCenter
Ab Initio Co-Op
IBM Ascential
OLAP
Oracle OLAP
Hyperion EssBase
Cognos PowerPlay
MS OLAP
Engine
Oracle Balance Scorecard
Hyperion Scorecard
Cognos Metrics Mgr
ETL Tool
Analytic Apps
Oracle EPB
Hyperion Planning
Cognos Planning
Business Objects SRC
Lineage
Transformation
Engine
Mining
Engine
ETLTool
Database
Query &
Analysis
Transformation
Engine
Reporting
Engine
Name/Address
Scrubbing
Oracle Data Miner
SAS Enterprise Miner
SPSS Clementine
Oracle 10g
IBM DB2
NCR Teradata
MS SQL Server
Enterprise
Reporting
Oracle BI Platform / XML Publisher
Business Objects XI
Cognos 8 BI
MicroStrategy 8
Hyperion 9 BI + r t
P o a l
Oracle Portal
BEA WebLogic
IBM WebSphere
MS Share Point

 RDBMS
 ETL
 Cleansing
 Lineage
 OLAP
 Data Mining
 Query & Reporting
 Enterprise Reporting
 Analytical Applications
 Portal

 GIS
 Collaboration
 Unstructured Data
 Enterprise Security
 Identity Management
 Application Integration
 Metadata Management
 Business Activity Monitoring
 Business Process Flow Management

 RDBMS
 ETL
 Cleansing
 Lineage
 OLAP
 Data Mining
 Query & Reporting
 Enterprise Reporting
 Analytical Applications
 Portal
 GIS
 Collaboration
 Unstructured Data
 Enterprise Security
 Identity Management
 Application Integration
 Metadata Management
 Business Activity Monitoring
 Business Process Flow
Management

OLAP
Engine • Eliminate redundancy
Lineage
Transformation
Engine
Mining
Engine P
• ETLTool
Database
Query & o
Reduce number of moving parts t Transformation a Engine
Reporting l
Engine
Name/Address
Enterprise
Scrubbing
Reporting • Develop “best practice” architecture

OLAP
Engine Lineage
ETL Tool
Analytic Apps
Transformation
Engine
ETLTool
Transformation
Engine
Database
Mining
Engine
Query &
Analysis r t
P o a l
Name/Address
Scrubbing
Reporting
Engine
Enterprise
Reporting
• Metadata Mgmt • Enterprise Security
• GIS
• Collaboration • Application Integration
• Identity Mgmt • Business Process Flow Mgmt • Unstructured Data

Oracle Business
Intelligence SE-1
• SE1 Database
• ETL
• Analytic Server
• Query & Analysis
•
Dashboards
•
Server Administration
•
Targeted to SME
Customers
Oracle Business
Intelligence SE
• Discoverer
• Discoverer OLAP
• Discoverer Plus
• Discoverer Viewer
•
Reports
•
BI Beans
•
MSFT Office Add-In
Oracle Business
Intelligence EE
•
Analytic Server
•
Query & Analysis
• Dashboards
• Reporting & Publishing
• Sense & Respond
• Offline Analytics
• MSFT Office Add-In
•
Server Administration
Oracle Database
ETL, OLAP, Data Mining

 Enables the extraction, transformation, and loading of data to produce quality information in the Oracle database
 Protects and leverages customer investment in the Oracle technology stack through data and metadata integration

Disclaimer: The Magic Quadrant is copyrighted 11 May 2005 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.
Magic Quadrant for Extraction, Transformation and Loading, 1H05, T. Friedman, B.Gassman, May 2005

Sample Customers

Design and Deployment With
Oracle Warehouse Builder
1
Design Target Objects
3
Map & Transform
4
Generate & Validate
2
Extract Source
Metadata
5
Deploy Code
• Relational
• Flat Files
• Applications
• Mainframe
• Oracle9i/10g
• OLAP
• Flat file
• BI tools
6
Run

 Enabling Quality Information
 Enabling Business Intelligence
 Enabling Expertise capture

Quality
Monitoring
Capture
Metadata
Quality
Assessment
Information
Execute
Profile
Data
Quality
Transformation
Deploy
Metadata
Management
Data
Rules
Process
Flow
Data
Flow Quality
Design

 Data Quality functionalities are integrated into ETL processes
– Disciplined approach to Data Quality, not an afterthought
– Data Quality is modeled, executed and audited just like any other transformation
 Consists of
– Data Profiling
–
–
Name and Address Cleansing
Match-Merge

 Allow users to analyze data
– discover the structural content
– capture the semantics
– Identify anomalies and outliers
 Automatically derive business rules and maps to clean data
 Derive Quality Indices (e.g. 6-sigma)
 Auditors monitor quality on an ongoing basis
 Integrated as part of ETL
Columns Pattern Format
Hdate YYYY-MM-DD Date
SSN 9(3)-9(2)-9(4) US Social Security Number
Phone 9(3)-9(3)-9(4) US Phone Number
Id 9(5) <Not Found>
Contact A@A.A
Email
Format %
Compliant
82%
3%
16%
Unique
N/A Yes
99% No

BI Defs
Design
Derivation
Preview
Metadata
Management
Generation
Deploy

Enabling Business Intelligence –
New in 10gR2
 Relational and Dimensional Data Object
Designer
 Business Intelligence Object Derivation

 Dimensions, cubes, tables, views, complex objects, …
 Support for Star, Snowflake, Skip-Level, calculated measures, …
 One editor for creation, configuration, validation, code generation, impact analysis, deployment, data viewing

Business Intelligence Object
Derivation
 Create and Derive Business intelligence objects
 Oracle OLAP Cubes &
Dimensions
 OracleBI Discoverer
EUL
 OracleBI Beans Reports
 Included in Lineage and
Impact analysis!
Designer
Relational & OLAP
Catalogs,
10g Scheduler, Workflow z
Warehouse
Builder
Discoverer
BI Beans

Expertise
BI Defs
Enabling
Business
Intelligence
Information
Enabling
Quality
Information

 Re-use OWB Components to build your OWN application!
– Define best practices & directed guidance
 Run Standalone or within OWB Design-time
 Declarative Definition & Guided execution
 E.g. “Data-Mover” Expert
– Offers users the ability to easily copy data from:
 Table-to-Table
 File-to-Table

Sources

Oracle
– Tables, Views, MViews,
Queues, External Tables, Table
Functions, Streams, PL/SQL
API’s, Sqlloader…

DB2, Sybase, SQLServer, Informix,
Mainframes, … (Oracle Transparent
Gateways)
 ODBC
 Flat Files

Applications
– Oracle Apps
–
–
–
Peoplesoft
SAP
Custom SQL App
Targets
 Oracle
– Tables, Queues, Table Functions,
Streams, PL/SQL API’s, …
 DB2, Sybase, SQLServer, Informix,
Mainframes, … (Oracle Transparent
Gateways)
 ODBC
 Flat Files
 Applications
–
–
Oracle Apps
Peoplesoft
– Custom SQL App

 Metadata adapters for:
– Oracle EBusiness
Suite
– Peoplesoft
 Enhancements to SAP adapter:
–
–
–
–
Direct ABAP processing
ABAP Join Ranking
Variable support
Sub-Process flow integration

 Move large data volumes quickly and easily between Oracle instances
–
–
–
Perform fast bulk loads
Performance & usability gains over traditional technologies (DB Links, Flat Files,…)
Technology varies according to source:
 9 i source - Transportable Tablespaces
 10g source – Data Pump

 Define complex custom calendars to control process execution
– E.g.
 Working Days
 Holidays
 Standard iCal format

 User-Definable:
–
–
–
Objects
Associations
Properties
ALL in the OWB repository!
 Custom icons for easy recognition
 Access full metadata services of OWB e.g. impact analysis

Enterprise ETL
Enable Large Scale,
Complex Deployments
Data Quality
Convert Data to
Quality Information on an ongoing basis
ERP/CRM
Connectivity
Extract from common
ERP/CRM (SAP etc.)
Core ETL Features
Easily load Data into Oracle Database

OWB 10gR2 Core ETL =
OWB 10gR1 Functionality
– SAP connector
+ Enhancements
+ New Features
Core ETL Features
Easily load Data into Oracle Database

 Import Metadata. source Non-Oracle and Flat-files
 Target Oracle (relational & Dimensional) and Flat-Files
 Support for Oracle OLAP and Relational Partitioning
 Debugging, Mapping (Aggregation, De-duplication, Joining, etc.
 Name & Address Cleansing Interface to Partners
 Basic Process Flows
 Execution on RAC/Grid
 HTML metadata reports, Scripting and SQL views

New Features
 Experts
 Non-Oracle Target support
 Graphical Data Object Editor
– Relational, Dimensional, EUL
 Remote Control Center (Runtime Service)
 Data Viewers (Relational & Dimensional) in maps
 Fiscal Time Dimension incl. Data loaders
 Integrated OMB*Plus Client
 Asynchronous Job Deployment & execution
 User-defined data types
 Runtime metadata transformations

New Features
 Usability
–
–
–
–
New Common Editor Framework
Modules as source &/or target
Security Management
Printing
–
–
–
–
–
–
Location Management
Install
Simplified/unified Repository
“Right-mouse-click” Deployment
Unified Browser Reporting environment
BI Definition Derivation

Enhancements
UI Look & Feel Improvements
10g Release 1 10g Release 2

Enhancements
 Dimensional
 Calculated Measure Generation
 Advanced Cube Aggregation
MV’s for ROLAP, AGGMAPS for MOLAP
 Oracle OLAP 10g R2 via AWXML
- Sparsity
- Compressed Cube
- Partitioning
 Dimension Roles
 Dimension Import
 Surrogate Key Management
 Auto and manual binding for relational dimensions

Enhancements
 Data Quality
 Improved Match/Merge functionality
 Parallelized Name & Address cleansing
 Other
 Advanced Aggregation Options
 Physical Storage Data Object properties
 Scripting support for advanced deployment
(upgrade, replace)
 Materialized views
 Multi-File support for SQL*Loader
 Forced ‘Single Flavor Codegen’ (enables
Analytic SQL expressions)

Enterprise ETL
Option
Enable Large Scale,
Complex Deployments
Data Quality
Option
Convert Data to
Quality Information on an ongoing basis
ERP/CRM
Connectors
Extract from common
ERP/CRM (SAP etc.)
Core ETL Features
Easily load Data into Oracle Database

 Only available with Enterprise Edition of database
Enterprise ETL
Option
Enable Large Scale,
Complex Deployments
Core ETL Features
Easily load Data into Oracle Database

Includes
 Improves performance & scalability of ETL jobs
 Interactive Lineage & Impact Analysis
 User-defined Objects, Relationships and modules
 Advanced Process Flow Functionality
 Change propagation
 XML file as Target
 Pluggable Mappings
 Support large Business Intelligence deployments
– Business Intelligence Beans Generation
– Discoverer EUL direct deployment

 Only available with Enterprise Edition of database
Enterprise ETL
Option
Enable Large Scale,
Complex Deployments
Data Quality
Option
Convert Data to
Quality Information on an ongoing basis
Core ETL Features
Easily load Data into Oracle Database

 Discover Data Anomalies
 Identify Data Rules
 Auto-correction of Data Anomalies
 Audit ETL jobs (and take action if data quality is too low)

 Only available with Enterprise Edition of database
Enterprise ETL
Option
Enable Large Scale,
Complex Deployments
Data Quality
Option
Convert Data to
Quality Information on an ongoing basis
ERP/CRM
Connectors
Extract from common
ERP/CRM (SAP etc.)
Core ETL Features
Easily load Data into Oracle Database

 Extraction from ERP/CRM sources
 Oracle E-Business Suite
 Peoplesoft
 SAP

Enabling Quality Information
 Data Profiling
 New Data Sources and
Targets
 Enhanced ERP Integration
 Transportable Modules
 Scheduled Process
Execution
 User-defined Objects & Icons
Enabling Business Intelligence
 Relational and Dimensional Data
Object Designer
 Business Intelligence Object
Derivation
Enabling Expertise Capture
 Experts

 http://www.oracle.com/technology/products/owb
–
–
Collateral
Software
–
–
–
–
–
Component Exchange
Discussion forum
SDK
Customer Testimonials
Partner Information

Demo
1.
Data Sources
2.
Data Targets
3.
Mappings
4.
Process Flows
5.
Configuration
6.
Metadata Integration
7.
Experts
8.
Data Quality (Data Profile)
9.
BI Integration
10.
Scalability/Performance