51228145 bi-apps-architecture

INSTRUCTIONS FOR USE

• THIS PRESENTATION IS MEANT FOR
TECHNICAL AUDIENCES TO COVER
DETAILED ARCHITECTURE FOR THE
ORACLE BI APPS

© 2008 Oracle Corporation – Proprietary and Confidential 1

NOTES TO SPEAKER

• This presentation is meant for an audience that doesn’t understand
the value of the prebuilt BI Apps / BI & Data Warehousing
• Looking to buy a point solution like DBI, Noetix, etc.
• Thinks they can build their own solution for similar cost with Cognos or
BOBJ
• This is not a product pitch – rather an educational session
• The flow is to argue for a BI App, then argue for a pre-built BI App,
then reinforce the need to look at what it takes to build a world class
BI solution (not just reports)
• There are additional slides in the Backup section. Please use them as
appropriate
• Use the PeopleSoft specific slides and Oracle EBS specific slides as
appropriate for the customer’s source system


OTHER RELATED MATERIALS
• Each application has its own presentation
• Oracle BI Applications Overview
• Oracle Financial Analytics
• Oracle Supply Chain and Order Management Analytics
• Oracle Procurement and Spend Analytics
• Oracle Human Resource Analytics
• Oracle Sales Analytics
• Oracle Service and Contact Center Telephony Analytics
• Oracle Marketing Analytics
• There are presentations for specific topics
• Oracle BI Applications Architecture Overview
• Oracle BI Applications Consolidated Data Model
• Oracle BI Applications Integration with Oracle Applications


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.


<Insert Picture Here>

Oracle BI Applications Architecture

Program Agenda
Overview of Oracle BI Applications
Q&A



Product Overview


Oracle BI Applications
Multi-source Analytic Apps Built on BI Suite EE Plus
Proactive
Interactive Reporting & Ad-hoc Disconnected MS Office Web
Detection
Dashboards Publishing Analysis Analytics Plug-in Services
and Alerts

Service & Supply Chain
Procurement Human
Sales Contact Marketing & Order Financials
& Spend Resources
Center Management

Oracle BI Apps • Common Enterprise Information Model
built on • Prebuilt Hierarchies, Drill Paths, Security, dashboards, reports
Oracle BI EE Plus • Based on industry and analytic best practices

IVR, ACD, CTI
Hyperion
Packaged Universal MS Excel
ETL Maps Adapters Other Data Sources


Multi-Source Analytics with Single Architecture
Comms Complex Consumer Financial High Insurance Life Public Travel
Auto & Media Sector Energy Services Tech Sciences Sector
Mfg & Health & Trans

Service & Supply Chain Human
Procurement
Center
& Spend
Management Resources

Pipeline Service Campaign Direct / Indirect Revenue and General Employee
Analysis Effectiveness Effectiveness Spend Backlog Ledger Productivity

Forecast Customer Customer Buyer Inventory Accounts Compensation
Accuracy Satisfaction Insight Productivity Receivable
Sales Team Resolution Product Off Contract Fulfillment Accounts Compliance
Effectiveness Rates Propensity Purchases Status Payable Reporting

Up-sell/ Service Rep Loyalty & Supplier Customer Cash Flow Workforce
Cross-sell Efficiency Attrition Performance Status Profile

Cycle Times Service Cost Market Basket Purchase Order Profitability Retention
Analysis Cycle Time Cycle Time Analysis

Lead Churn & Campaign Employee BOM Expense Return on
Conversion Service Trends ROI Expenses Analysis Management Human Capital

Other Operational &
Source adapters: Analytic Sources
Oracle BI Suite Enterprise Edition Plus


Financial Analytics Components
1 3
Pre-built warehouse with 16 star-schemas Pre-mapped metadata, including
designed for analysis and reporting on embedded best practice calculations and
financial analytics metrics for financial, executives and other
business users

• Presentation layer
• Logical business
model
• Physical sources

2 4
Pre-built ETL to extract data from over A “best practice” library of over 360
3,000 operational tables and load it into pre-built metrics, 30 intelligent dashboards,
the DW, sourced from SAP, PSFT, Oracle 200+ reports and several alerts for CFO,
EBS and other sources Finance Controller, Financial Analyst,
AR/AP Managers and Executives



Technical Overview


Role Based Dashboards
Oracle BI
Analytic Workflow
Dashboards by Role Presentation Guided Navigation
Services
Reports, Analysis / Analytic
Security / Visibility
Workflows Alerts & Proactive Delivery
Administration

Metrics / KPIs Logical to Physical Abstraction Layer

Metadata
Oracle BI Calculations and Metrics Definition
Logical Model / Subject Areas
Server Visibility & Personalization
Physical Map Dynamic SQL Generation

Data Warehouse /
Data Model Abstracted Data Model
Direct Conformed Dimensions
Access to Load Process
Heterogeneous Database support
DAC

Source
Data Staging Area ETL Database specific indexing
Extraction Process
Highly Parallel
Multistage and Customizable
Deployment Modularity

Oracle SAP R/3 Siebel PSFT EDW
Other
Federated Data Sources

ETL Overview

Oracle BI
Dashboards by Role Presentation
Services
Workflows
Administration

Metrics / KPIs

Metadata
Oracle BI
Server • Multiple Approaches to loading
source data
Physical Map
• ETL Layered architecture for
Data Warehouse /
extract, universal staging and load
Data Model • Provides isolation, modularity and
Direct extensibility
Load Process
Access to • Architected for performance
DAC

Source
Data Staging Area ETL • All mappings architected with
incremental extractions
Extraction Process
• Data Warehouse Administration
Console (DAC)
• Application Administration, Execution
and Monitoring
Other

ETL Overview

Oracle BI Business Analytics
Dashboards by Role Presentation Warehouse
Services
Workflows

Load
Administration

Metrics / KPIs Source Independent Load

Metadata
Oracle BI
Server

Physical Map
Staging Tables
Data Warehouse /
Data Model
Direct
Access to Load Process Source Dependent Extract

Extract
DAC

Source
Data Staging Area ETL Power Power
Connect Connect

SQL

SQL

SQL
Extraction Process

ABAP
SQL
App Layer

App Layer
Siebel
Oracle Other
OLTP
PeopleSoft SAP
Other

Data Extraction and Load Process

Business Analytics
Extract Warehouse
Source-specific and Universal

Load
Business Adapters
Expose simplified business Source Independent Load
entities from complex source
systems
Converts source-specific data to
universal staging table format Staging Tables
Lightweight and designed for
performance, parallelism
Extensible Extract

Extract
Power Power
Connect Connect

SQL

SQL

SQL
ABAP
SQL
App Layer

App Layer
Siebel
Oracle Other
OLTP

PeopleSoft SAP



Extraction Modes
Business Analytics
Direct Database Access Warehouse
Oracle EBS
Siebel CRM

Load
PowerConnect technology
SAP R/3 Source Independent Load
PeopleSoft Enterprise
Universal Business Adapters
Used for sources with no pre-
Staging Tables
packaged business adapter
Transforms and loads data from
universal sources through a flat file
interface Source Dependent Extract

Extract
Supply flat file(s) or tables meeting
Power Power
a defined standard format Connect Connect

SQL

SQL

SQL
Reduces implementation and

ABAP
SQL
maintenance significantly
compared to building full ETL

App Layer

App Layer
solution from scratch Siebel
Oracle Other
OLTP

PeopleSoft SAP



Business Analytics
Warehouse
Source Independent Layer

Load
Encapsulates warehouse load logic
Handles: Source Independent Load
Slowly changing dimensions
Key lookup resolution /
surrogate key generation Staging Tables
Insert/update strategies
Currency conversion
Data consolidation Source Dependent Extract

Extract
Uses Bulk Loaders on all db Power Power
Connect Connect
platforms

SQL

SQL

SQL
ABAP
SQL
App Layer

App Layer
Siebel
Oracle Other
OLTP

PeopleSoft SAP


ETL Component Architecture
Source Dependent Extract mplt Source Independent Load
(SDE) (SIL)
Oracle

SAP R/3 Business Component Business
Business

Source Independent
Analytics
Analytics

Source Adapter
Warehouse
Warehouse

Mapplet
Siebel
Mapplet

Mapplet
Universal
Universal PLP
Staging
Staging
PSFT Area
Area

EDW mplt

Other
Post Load Process –
mplt Each record is stamped Designed to build
with Source ID Aggregates on Base Fact
Tables


ETL Mapping Example – Product Dimension
Business Component Mapplet for Oracle Applications
Source

Oracle EBS Source Qualifier Expression Mapplet output to
Source Table Transformation Extract Mapping


Extract Mapping (to Temporary Staging) for Oracle
Applications Source

Business Component Source Adapter Temporary
Mapplet for Oracle EBS Mapplet Staging Table
Product Master


Extract Mapping (Temporary Staging to Final Staging)
for Oracle Applications Source

Temporary Staging Source Expression Universal
Tables (Product Master) Qualifier Transformation Staging Table


Load Mapping for Oracle Applications Source

Universal Staging Source Source Independent W_PRODUCT_D
Table Qualifier Load (SIL) Mapplet Data Warehouse
Table


Configuration Example – ROW_WID (Primary Key)
• Flexibility of Configuration
• Configuration of grain of data for facts/dimensions easily possible


Configuration Example – Slowly Changing
Dimension


Incremental Extraction and Load
The Logic Behind incremental ETL
• A variety of strategies used to optimize incremental extracts and loads
• Overall Philosophy – Extract incrementally if possible, else load
incrementally
• Siebel
• Use a combination of a date window and rowid comparisons
• Oracle
• Use a date window and last update date for extraction
• Also use dates/record images to control updates on target
• PeopleSoft
• Use a date window and last update dates for extraction wherever
possible
• SAP
• Use a date window and last update date for extraction
• Also use dates/record images to control updates on target
• Certain dimensions are fully extracted and but updates on target are
controlled


How Last Minute Changes Are Captured

• Mostly one set of Mappings for both Initial and
Incremental Loads
• Incremental extract will pick up the data that has been
created/updated since the last extract date
• No need not worry about last minute changes
• Changes before the extract mapping runs, will be picked up in
the current run
• Changes after that will be picked up in the next run
• Controlled through DAC, Parameter “Prune Days”
• Allows to go back "n" number of days since the last extract
which will ensure that last minute changes have been picked
up.


DAC Parameter Setting for Prune Days


Data Warehouse Administration Console (DAC)
Strong Competitive Differentiator

• For warehouse developers and ETL Administrator
• Metadata driven “ETL orchestration tool”
• Application Configuration
• Execution & Recovery
• Monitoring
• Allows:
• Pin-point deployment
• Load balancing / parallel loading
• Reduced load windows
• Fine-grained failure recovery
• Index management
• Database statistics collection


Physical Data Model Overview

Oracle BI
Services
Workflows
Administration

Metrics / KPIs

Metadata
Oracle BI
Server

Physical Map
• Integrated enterprise-wide data
Data Warehouse / warehouse built with conformed
Data Model
dimensions
Direct
Access to Load Process • Allows modular deployment
DAC

Source
Data Staging Area ETL • Lowest grain of information
Extraction Process • Prebuilt Aggregates to support
navigation from Summary to details
• Tracks historical changes
• Implemented and optimized for
Oracle SAP R/3 Siebel PSFT EDW Oracle, SQL Server, IBM UDB/390,
Other Teradata

Common Enterprise Information Data Model

HR / Workforce
Customers Suppliers

Procurement
Distribution

Operations
Marketing

Finance
Service

Sales
Customers Suppliers

Customers Suppliers

Features: Benefits:
• Conformed dimensions • Enterprise-wide business analysis
• Transaction data stored in most (across entire value chain)
granular fashion • Access summary metrics or drill to
• Tracks full history of changes lowest level of detail
• Prebuilt and extensible • Accurate historical representations
• Built for speed


Support for Cross-Functional Analysis
Pre-requisite of common conformed dimensions

Dim Table Products Dim Table
Dimension
Dim Table Dimension
Dim Table
Tables Dimension Tables

Purchase
Sales Orders
Orders
Fact Table
Fact Table

Time
Dimension
Supply Chain & Order Procurement and Spend
Management Analytics Analytics

Q. How many of my top customers bought
products from my worst suppliers?


Oracle BI Apps: Selected Key Entities
Unified multi-source data model
Sales
Sales Call Center Conformed Dimensions
Opportunities Call Center Conformed Dimensions
Opportunities ACD Events
Quotes ACD Events
Quotes Rep Activities Customer
Pipeline Rep Activities Customer
Pipeline Contact-Rep Snapshot Products
Contact-Rep Snapshot Products
Targets and Benchmark
Order Management
Order Management Targets and Benchmark Suppliers
Suppliers
Sales Order Lines IVR Navigation History
Sales Order Lines IVR Navigation History Cost Centers
Sales Schedule Lines Cost Centers
Sales Schedule Lines Service Profit Centers
Profit Centers
Bookings Service
Bookings Internal Organizations
Pick Lines Service Requests Internal Organizations
Pick Lines Service Requests Customer Locations
Billings Activities Customer Locations
Billings Activities
Backlogs Agreements
Agreements Customer Contacts
Backlogs Customer Contacts
GL Accounts
GL Accounts
Marketing
Marketing Workforce
Campaigns Workforce Employee
Employee
Campaigns Compensation
Compensation
Responses Employee Profile Sales Reps
Sales Reps
Responses Employee Profile
Marketing Costs
Marketing Costs Employee Events Service Reps
Service Reps
Employee Events
Partners
Partners
Supply Chain
Supply Chain Pharma Campaign
Purchase Order Lines Pharma Campaign
Purchase Order Lines Prescriptions
Prescriptions Offers
Purchase Requisition Lines Syndicated Market Data Offers
Purchase Requisition Lines Syndicated Market Data Ledger
Purchase Order Receipts
Purchase Order Receipts Ledger
Inventory Balance
Inventory Balance
Inventory Transactions Financials
Financials
Inventory Transactions Financial Assets
Financial Assets
Modular DW Data Model includes:
Modular DW Data Model includes:
Insurance Claims ~350 Fact Tables
Finance
Finance
Insurance Claims ~350 Fact Tables
Receivables ~550 Dimension Tables
Receivables
Payables
Public Sector
Public Sector ~550 Dimension Tables
Payables
General Ledger Benefits
Benefits ~5,200 prebuilt Metrics
~5,200 prebuilt Metrics
General Ledger Cases
COGS
COGS Cases (2,500+ are derived metrics)
(2,500+ are derived metrics)
Incidents
Incidents
Leads ~15,000 Data Elements
~15,000 Data Elements
Leads

Types of Fact Tables
• All base facts are based on single business function, e.g. Sales Order
Lines, Sales Cycle Lines, etc.
• Types of Fact Tables
• Transactional Facts
• Mirror of transactional data from the source
• Lowest atomic grain of each transactional record
• E.g. Employee Events Fact, Order Lines Fact
• Snapshot Facts
• Snapshot of balances across time
• E.g. Employee Daily Snapshot, Inventory & Account Balances, AR and
AP aging snapshots & Opportunity Pipeline
• Cycle Lines Facts
• Derived from multiple fact tables, typically store process cycle times
• E.g. Sales Order Cycle Lines, Purchase Cycle Lines
• State Transition Facts
• Required for specialized transition count metrics
• Customer State transitions (# New, # Inactive customers, etc)
• Aggregate Facts
• Performance enhancement on key metrics
• E.g. Payroll Aggregate (out of box Monthly, but configurable to other
grains)


Business Process Conformance

• Native source specific transaction types are
transformed and appended to standardized
warehouse codes
• Standardized warehouse codes are superset of all
supported sources
• Native source specific transaction types are retained
for source specific analysis
• E.g. Ethnic Codes, HR Event Types, Credit Memo, Debit
Memo types


Example: Accounts Receivable Process

Standard Warehouse
Code
Invoice Invoice and Payment Invoice items AR documents with DR
Schedules document type

CR Memo/DR Memo CR Memo and DR Memo CR Memo and DR Memo AR documents with DA
items document type

Payments Cash Receipts etc. Payments/ Deposits AR documents with DA
document type and ‘A’
as special indicator
Payment Applications Cash/CR Memo Payment Item Activities AR documents with DZ
applications/Adjustments document type

Other All other types of BI/AR: All other types of All other types of AR
transactions items documents


Example: Accounts Receivable Process
• All source transaction type code values are stored and appended with standardized
warehouse codes
• All higher layers in the architecture and metrics use same standardized warehouse codes
• Stored source transaction type code values enables integration back into each
transactional system

TYPE TYPE CODE TYPE_DESC WAREHOUSE CODE
TYPE_DESC WAREHOUSE CODE
CODE
O Credit memo Credit Memo Credit Memo Credit Memo Credit Memo

4 Credit memo list Credit Memo
On-Account Credit On-Account Credit Credit Memo
S Credit memo cancellation Credit Memo Cancellation
Debit Memo Debit Memo Debit Memo
P Debit memo Debit Memo

6 Intercompany credit memo Intercompany Credit Memo Debit note Debit note Debit Memo

5 Intercompany invoice Intercompany Invoice Invoice Invoice Standard Invoice
N Invoice cancellation Invoice Cancellation
Contra Contra Standard Invoice
U Pro forma invoice Pro forma Invoice

3 Invoice list Standard Invoice

M Invoice Standard Invoice


Example: Employee FLSA Status Derivation Process
• All source FLSA Status code values are stored and appended with standardized
warehouse codes
• All higher layers in the architecture and metrics use same standardized warehouse codes
• Stored source FLSA Status code values enables integration back into each transactional
system

TYPE
TYPE_DESC WAREHOUSE CODE TYPE CODE TYPE_DESC WAREHOUSE CODE
CODE
N Nonexempt Non-Exempt NEX Non Exempt Non-Exempt
E Executive Exempt EX Exempt Exempt
M Management Exempt
A Administrative Exempt
P Professional Exempt
O Outside Salesperson Exempt


Enhanced Multi Currency Support
• BI Apps Physical Data Model stores and supports 5
currencies
• Document Currency – the currency of the transaction
• Local Currency - the base currency of your ledger, the currency in
which your accounting entries are recorded in
• Global Currencies – common currencies used
• OOTB support for three global currencies (Global1, Global2,
Global3)
• Default currency for all reporting is Global1
• Every amount from source system is loaded into
Document Currency amount and Local Currency amount
• Exchange rates sourced from source system to load each
of the 3 global currencies
• All currency amounts are stored as persisted calculations
• Currency conversion is done at ETL time


Multiple Calendar Support

• Supports Gregorian and Fiscal hierarchies out of the
box
• Allows configuration of fiscal calendar, e.g. 4-4-5
• Configuration to support multiple fiscal hierarchies
depending on user profile
• Requires Initialization block to read user profile
• Dynamically use the appropriate calendar table
• CRM OnDemand implementation supports twelve fiscal
calendars


Localization / Globalization

• Dynamic Language Conversion (translation to 28
languages)
• Arabic, Chinese (Simplified), Chinese (Traditional), Croatian,
Czech, Danish, Dutch, English, Finnish, French, German, Greek,
Hebrew, Hungarian, Italian, Japanese, Korean, Norwegian,
Polish, Portuguese (Brazilian), Portuguese (European),
Romanian, Russian, Slovak, Spanish, Swedish, Thai, Turkish
• Codepage / Unicode support
• Dynamic Time Zone translations
• All timestamps are stored in warehouse stored as UTC
• Custom labeling and naming support / Flex Field
Naming
• Column Names can be dynamically named


Data Integration – Multi Source Loads
• Segregation and Lineage captured in data model
• Source data keys, comprised of:
+
INTEGRATION_ID DATASOURCE_NUM_ID

Part no. Plant id
+ +
‘MT27907b’ ‘NW3’ ‘SAPJapan’

Example: Key_id for Products dimension
SAP ‘MATNR ~ MANDT’
Oracle EBS ‘item_id ~ organization_id


Business Process Outsourcing Support
Oracle BI Apps supports multi-tenant concept

• Unique Enterprise Multi-Source data model
• Segregates and maintains data lineage via
DATASOURCE_NUM_ID when loading data from several
sources
• Additional TENANT_ID key allows even more flexibility for
data model to support multiple-tenanted source systems
• Enables a variety of deployment, data segregation /
separation strategies within the same data warehouse
End Customer Data Sources
BPO Customer 1 PSFT HR 8.8 North America instance
BPO Customer 1 PSFT HR 8.8 European instance
BPO Customer 2 Oracle EBS 11i10 HR instance


Server Repository Overview

Oracle BI
Services
Workflows
Administration

Metrics / KPIs

Metadata
• Multi-layered Abstraction
Oracle BI
Server • Prebuilt Metrics/Dimensions
Physical Map • Prebuilt hierarchy drills and cross
dimensional drills
Data Warehouse /
Data Model • Prebuilt Aggregate navigation
Direct
Access to Load Process • Multi-pass complex calculated
DAC

Source
Data Staging Area ETL
Metrics / KPIs
Extraction Process
• Federation of queries
• Visibility & Personalization
• Prebuilt Security inherited from
Oracle EBS, PeopleSoft, Siebel
Oracle SAP R/3 Siebel PSFT EDW CRM
Other

Metrics and Calculations

• The applications provide several complex metrics defined logically
with an expression builder
• Share base (e.g. % share of one product sales over all products sales)
• Indexes (e.g. this division’s performance as a ratio of all divisions)
• Cross subject area metrics (across Finance and HR, e.g. Revenue per
employee)
• Variances (e.g. Budget vs Actual)
• Time series metrics
• MTD/YTD/Running balances/MAVG (e.g. Revenue Chg % YTD)
• Period Ago Metrics (e.g. Revenue YAGO)
• Snapshot at any point of time support (e.g. # Open Service Requests)

All of these are done logically
without adding data model/ ETL complexity


OBI EE Plus vs BI Applications
Oracle Business Intelligence Enterprise Edition Plus

Oracle Business Intelligence Applications – Prebuilt Metadata


BI Applications – Prebuilt Metadata Example
Physical to Business Model Mapping


Business Model to Presentation Mapping


Inventory Compound Metrics- Inventory Turns
Example
• Flexibility of configuring derived calculation expressions


Hierarchies – Plant Location Example


Rich Dimensional Attributes


Web Catalog Overview

Oracle BI
Services
Workflows
Administration

Metrics / KPIs

Metadata
Oracle BI
Server

Physical Map • Role based dashboards
Data Warehouse / • Prebuilt Reports/Dashboards
Data Model
Direct
• Guided Navigation
Load Process
Access to • Conditional navigational links
DAC

Source
Staging Area ETL
Data • Analytic Workflows
Extraction Process
• Alerts
• Highlighting
• Action Links to Oracle EBS,
Oracle SAP R/3 Siebel PSFT EDW PeopleSoft, Siebel CRM
Other

Dashboard
Pages
Example: Role Based
Dashboard
Roles

Performance
Measures
Highlighting

Conditional Navigation Flexible
View Selectors

Reports based on Prebuilt Reports
Multiple Sources with over 5200 metrics

Guided
Navigation


Even more metric value under the surface

Not all measures in
Metrics used in presentation layer
Reports & used in reports &
Dashboards dashboards

Metrics in Subject Subset of logical measures are
Areas exposed in presentation layer

Metrics in Logical Aggregations, time series calculations and derived
Layer calculated measures extend physical measures

Measures from physical
Metrics in Physical columns in data
Warehouse warehouse


Analytic Workflows
Directed analysis helps inexpert users
Guided Navigation
• Enables users to quickly navigate a standard path of analytical discovery
specific to their function and role
• Enhances usability and lowers learning curve for new users

Conditional Navigation
• Appears only when conditions are met and alerts users to potential out of
ordinary conditions that require attention
• Guides users to next logical step of analytical discovery


Analytic Workflows – Financial Analytics
Business
Objectives / Maximize Cash Flow
Issues

Is DSO on target? Is DPO on target?

Is Overdue Balances Are Payment Terms
trending up? in compliance?
• Business Function:
How long is the
Receivables
Gain What is the aging of
Insights
underlying Overdue
Due Balances? • Role:
Balance pending?
Director, Credits & Collections
• Objectives:
Who are the Customers Drill to
and Collectors? Due Balances by Region • 1) Maximize Cash Flow
• 2) Control Risk of
Drill to Receivables Portfolio
Overdue Invoice Detail

Target collection efforts to
Take Action reduce overdue balances

Analytic Workflows – Financial Analytics

Business Maximize cash flow
Objectives/
Issues
Is DSO on target?

Is overdue balances Drill to
trending up?
Detail
How long is the
Gain underlying overdue
Insights balance pending?

Who are the customers?

Drill to
overdue invoice detail

Take Target collection efforts
Action to reduce overdue
balances


Navigate from Analytical to Operational
Insight to Action via Action Links

• Seamless navigation from analytical information to
transactional detail while maintaining context
• Works with Oracle EBS, Siebel CRM, PeopleSoft

Action Links


Flexfield and Value Set Integration

• Key Flexfields (KFFs)
• Accounting Flexfield (GL#)
• Territory Flexfield (CT#)
• Item Categories (MCAT)
• HR Position (POS)
• HR Job (JOB)
• HR Pay Grade (GRD)

• Descriptive Flexfields (DFFs)
• Stored in data warehouse extension columns
• E.g. GL Account attribute fields

• Value Set Hierarchy
• Extract hierarchical relationships of Value Sets


Deployment Options

Standalone Interactive Dashboards BI in a Portal via JSR-168/WSRP


Deployment Options
Embedded Directly in Applications
E-Business Suite PeopleSoft

Siebel


Oracle BI Apps Security Integration
Tight security integration with Oracle Applications

Service & Supply Chain
Procurement Human
& Spend Resources
Center Management

User Object Data
Tightly integrated security model Security Security Security

Oracle BI Supports iPlanet, Novell, MSFT AD,
Foundation Oracle Identity Directory (OID), and others

Right content shown to the right user


User
User Security Security

How do I get in?

• Oracle BI EE Security Based Authentication
• Defines and stores user information in the RPD

• LDAP Authentication
• Stores information from the LDAP server in session variables

• External Table Authentication
• Maintains list of users in an external database

• Database Authentication
• Authenticates users through database logins

• Single Sign-On (SSO)
• Provides an open interface to enable web integration with SSO
products


User
Example: Single Sign-On with Oracle Security

E-Business Suite Applications
3
navigate to
2
store ICX
session cookie
in browser
5
establish connection with
Oracle EBS

Web
Browser Oracle EBS Oracle BI
user 1
log in once 6
drill back to Oracle EBS
via Action Links 4
validate session via
the ICX cookie


Object
Object Security Security

What parts of the application can you see?
• Business Logic Object Security
Presentation Layer Controls access to
Semantic Object Layer Subject Areas, Tables
Physical Layer
and Columns

• Web Object Security
Limits access to
Dashboards, Reports
and Web Folders

• Query Blocking
• Specified combinations of columns in queries can be blocked
from running and the user is notified of the illegal query


Object
Object Security for Siebel, EBS Security

and PeopleSoft
Associated with Web Catalog
Group: Order Management Manager Dashboards:
Order Management
Order Fulfillment

is assigned Responsibility/Role
: Order Management is associated with
Manager
User: OM Manager

Subject Areas:
Sales - Order Lines
Sales - Orders, Backlog and
Associated with Security Group:
Order Management Manager Invoices


Data
Data Security for EBS Security

What data can you see?

• Multi-Org data access support with
Oracle E-Business Suite applications:
• Operating Unit

• Inventory Organization

• Business Group

• Company Org

• Ledger/ Set of Books

• Position

• HR Security Profile


Data

Example: Responsibility and Inventory Org
relationship in Oracle E-Business Suite

assigned to
Responsibility
user

associated with

Inventory
Organization


Data

Example: Inventory Org Based Security in Oracle BI

Oracle
E-Business
Suite

2

retrieve Inventory Orgs
based on FND_USER tables

1

log in
Oracle BI
user show data based on
security group filters
3


Application Upgrade Methodology
Web Catalog Upgrade
UI based tool to analyze and merge
Oracle BI
Dashboards by Role Presentation reports/dashboards
Services Forward compatible with new BI
Reports, Analysis / Analytic Presentation Services releases
Workflows
Administration

Analytics Repository Upgrade
Metrics / KPIs Automated 3-way merge functionality

Metadata
Oracle BI
Original OOTB, Customer Modified, Current
Logical Model / Subject Areas OOTB
Server
Preserves customer changes and
Physical Map incorporates Oracle enhancements

Data Warehouse / ETL & Warehouse Upgrade
Data Model
Customization Methodology isolates
Direct
Load Process
customer changes
Access to Diff tools to determine and reapply changes
DAC

Source
Data Staging Area ETL DW model and data upgrade shipped with
each release
Extraction Process
DAC metadata
Diff tools to determine and reapply
changes

Other

Speeds Time To Value and Lowers TCO
Build from Scratch Oracle BI
with Traditional BI Tools Applications

Training / Roll-out

Define Metrics Faster deployment
& Dashboards Lower TCO
Assured business value
DW Design

Training / Rollout Easy to use, easy to adapt
Define Metrics Role-based dashboards and thousands
Back-end & Dashboards of pre-defined metrics
ETL and DW Design Prebuilt DW design, adapts to your EDW
Mapping
Back-end Prebuilt Business Adapters for Oracle,
ETL and PeopleSoft, Siebel, SAP, others
Mapping
Quarters or Years Weeks or Months
Source: Patricia Seybold Research, Merrill Lynch, Oracle Analysis


Typical Effort & Customization balance

Additional dashboards and
reports, guided and conditional
Dashboards & Reports Easy navigations, iBots, etc.

Additional derived metrics,
custom drill paths, exposing
OBIEE Metadata Moderate extensions in physical, logical and
presentation layer, etc.

Extension of DW Schema for
extension columns, additional
DW Schema Intermediate tables, external sources,
aggregates, indices, etc.

Extension of ETL for
ETL Involved extension columns,
descriptive flexfields,
additional tables, external
sources, etc.

Degree of Level of
Customization Effort



BACKUP SLIDES


ETL


Example: Employee Dimension populated
from PeopleSoft
SDE_PSFT_EmployeeDimension_Phones

SDE_PSFT_EmployeeDimension_Addresses

SDE_PSFT_EmployeeDimension_Biography1
W_EMPLOYEE_D
W_EMPLOYEE_D

SDE_PSFT_EmployeeDimension_JobInformation

SDE_PSFT_EmployeeDimension

SIL_EmployeeDimension


Employee Dimension populated from PeopleSoft

PeopleSoft Source Expression Temporary Staging
BC maplet Transformation Table
(see below)

PeopleSoft Expression Maplet output to
Source Qualifier


PeopleSoft Source Expression Temporary Staging
BC maplet Transformation Table
(see below)

Source Qualifier

Temporary Staging
Table

PeopleSoft Source Expression
BC maplet Transformation
(see below)

Lookup
Procedures

Source Qualifier
Source Tables Transformation Extract Mapping


Temporary Staging
Table

PeopleSoft Source Expression
(see below)

Source Qualifier


Temporary Staging
Table

Lookup
PeopleSoft Source Expression Procedures
(see below)

Source Qualifier


maplet

PeopleSoft Expression
Source Table Source Qualifier Temporary Staging
Transformation
Table



Expression
Transformation

Expression
Transformation

Lookup
Procedures

Input to Maplet Maplet output to
(from above) Extract Mapping

SIL_EmployeeDimension_SCDUpdate

Expression
Transformation
Target Definition

Source Definition

Filter (SCD logic)

Source Qualifier


Example of ETL Adapter
Business Component for Oracle EBS Purchase Order Lines Fact

• Reusable and part of extract mapping
• Isolates customers from dealing with source system complexity

Mapplet output to
Oracle EBS PO Source Source Expression
Extract Mapping
Tables Qualifier Transformation

Example of ETL Adapter…Contd.
Source Dependent Extract (SDE) mappings
for Purchase Order Lines Fact
• Allows to keep all source specific logic in the extract layer
• Allows to keep data extracts separate from data loads
Oracle EBS

Business Component Expression Source Adapter Universal Staging
Mapplet (for PO Fact) Transformation Mapplet Table
Universal Source

Flat File Source (for PO Source Expression Universal Staging
© 2008 Oracle fact) Qualifier
Corporation – Proprietary and Confidential Transformation Table 87

Example of ETL Adapter…Contd.
Source Independent Load (SIL) mapping for
Purchase Order Lines Fact

• Common for all sources (Oracle EBS, PeopleSoft, SAP and Universal)
• Provides the ability to deliver new adapters quickly
• Helps customers to add new legacy sources easily with minimum efforts

Universal Staging Expression Source Independent W_PURCH_ORDER_F
Table Transformation (SIL) Mapplet Data Warehouse Table


PeopleSoft Trees


51228145 bi-apps-architecture

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