Fulfilling Real-Time Analytics on Oracle BI Applications Platform

Fulfilling Real-Time Analytics on Oracle BI Applications
Platform
How Perficient can help you on your journey

INTRODUCTIONS
Shiv Bharti is the Practice Director of Perficient’s National Oracle
Business Intelligence Practice. Shiv has solid experience Building and
Deploying Oracle Business Intelligence Products. He has successfully led
implementation of over 75+ Oracle Business Intelligence and Custom Data
Warehouse Projects. Shiv has worked in multiple industries and with clients
that include fortune 500 companies . He has Expertise leading large global
teams, as well as in-depth knowledge across multiple verticals and
technologies. Prior to 2008, Shiv was a member of the Oracle and Siebel
Core Engineering Teams and responsible for the Design and Development of
numerous Business Intelligence Applications.

01 About Perficient
02 Oracle BI Applications Overview
03 What is Real-Time BI?
04 OBIEE Metadata Modeling Steps To Achieve Real-Time Analytics
05 Customer Case Study
06 Q&A
3
AGENDA
Experts in delivering business-driven technology solutions

01 ABOUT PERFICIENT
Inspiration Delivered 4

PERFICIENT
Leading Technology Consulting & Solutions Firm
 Founded 1997
 2013 Revenue $375M
 90% of revenue from recurring clients
Platinum Partner w/1,800+ Oracle Implementations
 Enterprise Information Management
 Enterprise Performance Management (EPM)
 E-Business Suite
 Oracle Technology, Middleware/SOA
 Customer Experience / CRM
 Oracle Certified Education Partner
Key Differentiators
 Focused expertise, lower cost, faster time-to-value
 Highly-experienced consultants
 National coverage
 Perficient uses Oracle to run its business
 10+ years participation in Oracle Open World
Experts in delivering business-driven technology solutions 5
Project size, Breadth of Expertise
Depth of Expertise, Efficiency & Value, Client Importance

ORACLE BI PRACTICE
 Oracle Platinum Partner with multiple specializations
 10+ year relationship of loyalty and trust
 Successfully delivered over 400 Oracle BI projects
 50+ U.S based Consultants and 50+ Offshore consultants dedicated to
delivering Oracle BI Solution
 60% of consultants come from Oracle Engineering
 Multiple Delivery Models
 Deep technical expertise on
 Oracle BI Cloud Service (BICS), Oracle BI Apps, OBIEE, Custom
Data Warehousing, Oracle Golden Gate, Mobility
 Oracle Certified Education Training Partner
 Work closely with Oracle product management to provide feedback for
functional enhancements
 Strong partnerships with field sales and marketing organizations
 Long standing involvement with Oracle Open World

02 ORACLE BI APPLICATIONS OVERVIEW

ORACLE BI APPLICATIONS
Complete. Open. Integrated.
OLTP & ODS
Systems
Data Warehouses
Data
Marts(SQLServer,
Oracle…etc.)
)
Exadata Unstructured &
BI / EPM
Apps
BI/EPM
Platform
Packaged
Applications
(Oracle, SAI, UltiPro)
Excel
XML/Office
Business
Processes
OLAP
Sources(MS Cube)
Semi-
Structured
ERP
Analytics
Planning &
Forecasting
Financial Close &
Reporting
Strategy
Management
Profitability
Management
CRM
Analytics
Industry
Analytics
BI Server
Common Enterprise Information Model
Essbase
Dimension
Management Predictive Analytics
Interactive
Query & Analysis Dashboards Scorecards Reports & Publishing Office Search Detect & Alert Embedded Mobile
Data
Sources

Adopt the Data Model – Don’t Build Your Own
Comprehensive Conformed Dimensions Ensures Cross Functional Alignment
CONFORMED DIMENSIONS CRM ANALYTICS
• Customer
• Products
• Suppliers
• Internal Organizations
• Customer Locations
• Customer Contacts
• GL Accounts
• Employee
• Sales Reps
• Service Reps
• Partners
• Campaign
• Offers
• Cost Centers
• Profit Centers
MODULAR DATA MODEL
9
Sales
 Opportunities
 Quotes
 Pipeline
Marketing
 Campaigns
 Responses
 Marketing Costs
Service
 Service Requests
 Activities
 Agreements
Contact Center
 ACD Events
 Contact-Rep Snapshot
 Targets and Benchmark
Loyalty
 Members and Points
 Transactions
 Promotions
Price
 Price Waterfall
 Deal Desk
 Price Segments
ERP ANALYTICS
• 370 Fact Tables
• 595 Dimension Tables
• 8,200 Prebuilt Metrics
• 17,700 Data Elements
Finance
 Receivables
 Payables
 Cash Flow
 General Ledger
Procurement & Spend
 Procurement Performance
 Supplier Performance
 Spend Analysis
Order Management
 Sales Orders and Invoices
 Bookings, Billings, Backlog
 Order fulfillment process
Supply Chain
 Inventory Performance
 Inventory Bill of Materials
 Customer & Supplier Returns
Human Resources
 Compensation
 Recruiting, Training, Learning
 Workforce Profile
Projects
 Project Funding
 Project Budgets
 Project Performance

10
Pre-built warehouse with 370 star-schemas
designed for analysis and reporting on
financial analytics
Pre-mapped metadata, including embedded
best practice calculations and metrics for
executives and other business users
A “best practice” library of over 8200
pre-built metrics, 88 intelligent dashboards,
2576 reports and several alerts for
Executives, Managers and Business Users
Pre-built ETL to extract data from operational
tables and load it into the DW, sourced from
PSFT, Oracle EBS and other sources
• Presentation layer
• Logical business
model
• Physical sources
1 3
2 4

11
ARCHITECTURE
Dashboards by Role Web
OBI EE Analytics reporting tools, including
dashboards, reports, graphs, etc.
Robust pre-defined OBI EE metadata built
specifically for Oracle ERP Customers. All
Oracle ERP data integrity and relationships
built in.
Simple, yet powerful data warehouse
architecture.
Informatica or ODI for Extract, Transform and
Load into the Data Warehouse.
Sources can Oracle ERP, Non-Oracle ERP,
Legacy or Custom Applications
Metrics / KPIs
Logical Model / Subject Areas
Physical Map
OBI EE
Analytics
OBI EE
Analytics
Server
Reports, Analysis / Analytic
Workflows
Data
Warehouse
Database
Informatica(ETL) / Oracle Data Integrator(ODI)
Oracle ERP
Non-Oracle
ERP
Source
Legacy Systems
Metadata
Data
Warehouse
Administration

BUILD VS. BUY
Speeds time to value and lowers TCO
Build from Scratch
with Traditional BI Tools
• Faster deployment
• Lower TCO
• Assured business value
Define Metrics
& Dashboards
DW Design
Weeks or Months
Define Metrics
& Dashboards
DW Design
Back-end
ETL and
Mapping
Back-end
ETL and
Mapping
Training/Roll-out
Training/Rollout
Quarters or Years
Source: Patricia Seybold Research, Gartner, Merrill Lynch, Oracle Analysis
Easy to use, easy to adapt
Role-based dashboards and
thousands of pre-defined metrics
Prebuilt DW design, adapts to your
EDW
Prebuilt business adapters for
Oracle, PeopleSoft, Siebel, and
others

02 REAL-TIME BI

Real-time business intelligence (RTBI) is the process of
delivering information about business operations as they
occur. Real time means near to zero latency and access to
information whenever it is required.
 Access to Point of Sale Transactions
 Operational reports for Business that depend on timely deliveries
 Need up to date information with real-time data
14
WHAT IS RTBI?

03 METADATA MODELING FOR RTBI

16
DESIGN SCENARIO
Source Systems
OLTP
OBAW

Physical Layer – “Intelligent
Request Generation”
Reads in system catalog
17
OBIEE – PHYSICAL LAYER
Multiple sources
Optimized SQL generation
Regardless of Schema
Function ship to appropriate data
sources/Compensation
OBAW
OLTP

18
OBIEE – Business Layer
Business Model Layer –
“Calculation Engine”
Physical complexity converted
to logical subject areas
Drill-Paths
Complex/Derived Measures
(Level-based, time series,
dimension-specific, nested)
Aggregate/Fragment Aware

19
OBIEE – Presentation Layer
Presentation Layer
Role-based, in context, personalized presentation –
Oracle Analysis

20
OBIEE ANALYSIS
select sum(T217.NET_QTY) as c1,
T712.DATE as c2
T956.PRODUCT_NAME as c3
T471.CUSTOMER_NUMBER as c4
from
VIEW_DATE T712
VIEW_PRODUCT T956,
VIDEW_CUSTOMER T471,
VIEW_SALES_ORDERS T217
Where (T712.ROW_ID = T217.DATE_ID
AND
T956.ROW_ID = T217.PRODUCT_ID AND
T471.ROW_ID = T217.CUSTOMER_ID)
group by
T712.DATE,
T956.PRODUCT_NAME,
T471.CUSTOMER_NUMBER
select sum(T312.NET_QTY) as c1,
T925.CALENDAR_DATE as c2
T659.PRODUCT_NAME as c3
T323.CUSTOMER_NUMBER as c4
from
W_DAY_D T925
W_PRODUCT_D T659,
W_PARTY_D T323,
W_SALES_INVOICE_LINE_F T312
Where (T925.ROW_WID = T312.DATE_WID
AND
T659.ROW_WID = T312.PRODUCT_WID
AND
T323.ROW_WID = T312.PARTY_WID)
group by
T925.CALENDAR_DATE,
T659.PRODUCT_NAME,
T323.CUSTOMER_NUMBER

New BI Analytics Apps Supports Real-Time
BI Apps 11.1.1.7.1 with Oracle Data Integrator and GoldenGate
 In-database E-LT Transformation vs. E-T-L
 Best in class performance, scalability, availability
 Lightweight deployment for lower TCO
 Faster time-to-value through declarative design
 Reduce load on source system by streaming data
 continuously into persistent store in the DW
 More reliable change data capture and delete
 support
 Enables near real-time dashboard refresh
 BI Apps 11.1.1.7.1 with Oracle Data Integrator and GoldenGate
21
BI APPS 11.1.7.1
Oracle Data Integrator provides
Oracle GoldenGate option for BI Apps

03 Customer Case Study

 Use Hyperion for Budgeting & Planning
 7000 ERP users and about ~700 heavy
23
Initial Environment
 Source applications
o Oracle EBS R12, SFDC, MES, O&M, and
others
users
 BI Publisher, Discoverer and Qlikview
being used for Reporting
 5000 Discoverer reports exists
 Source ERP DB Size 3.3 TB
 Transaction volume 275 GB per day
with 160,000 tables
 Data Growth 25% Yearly
 Single Sign on has been setup for
authentication
Current State
EBS Discoverer BI Publisher QlikView
Oracle Net Services Client Access
BI Publisher
QlikView
EBS
Discoverer
Node - 1
Instance- 1
Oracle Database

 Single source of truth (Enterprise Data Warehouse Platform)
 Data consolidation strategy/best practices in place for integrating data
residing in multiple Source Systems (Multiple Versions, Multiple Business
Applications)
 Ability to do Cross Functional Analysis across modules
24
Challenges
 Scalability
 Performance
 Enterprise Reporting Strategy

25
End State

26
BI Deployment Roadmap
Initial State
EBS Discoverer
BI Publisher QlikView
EBS
Discoverer
BI Publisher
QlikView
Node - 1
Instance- 1
Oracle Database

27
Initial State
EBS Discoverer
BI Publisher QlikView
EBS Discoverer
Node - 2
Instance- 2
RAC Database
Node - 1
Instance-1
BI Publisher
QlikView
Node - 3
Instance-3
Roadmap towards End State
Metrics / KPIs
Physical Map
OBI EE
Analytics
Web
OBI EE
Analytics
Server
Dashboards by Role
Workflows
EDW
ODI(ETL)
Metadata
Data
Warehouse
Administration
Load Process
Staging Area
Extraction Process
Golden
Gate
Replicated Tables and
Other Sources used for Reporting

28
Source Application – End State
EBS
Finance Supply Chain Procurement
Node - 2
Instance- 2
RAC Database
Node - 1
Instance-1
Node - 3
Instance-3
BI Environment - End State
Metrics / KPIs
Physical Map
OBI EE
Analytics
Web
OBI EE
Analytics
Server
Dashboards by Role
Workflows
EDW
ODI(ETL)
Metadata
Data
Warehouse
Administration
Load Process
Staging Area
Extraction Process
Golden
Gate
Replicated Tables and
Other Sources used for Reporting

29
Project Phases
Phase-1
Phase-2
Phase -3
Phase-4
 Upgrade single instance
database to RAC and
create a dedicated
reporting server
 Enable Oracle BI Apps
OOTB Dashboards and
Reports
 Setup Golden-Gate to
replicate Source
Applications
 Analyze legacy reports
and Perform Fit-gap
analysis
 Finalize Design and
migration plan to EDW
 Build a Data Warehouse on
Oracle BI Apps foundation
 Migrate Discoverer and
Qlikview Reports to EDW
 Fulfill Custom Real-Time
Reporting requirements
 Provide ability to efficiently
acquire, Organize and
analyze Terabytes of
structured Data
 Build BI Support Team
 Build BI Competency Center
 Provide the ability to
analyze Structured and
Unstructured data
 Provide the ability to Acquire
and Organize Petabytes of
Structured, Semi-structured
and Unstructured data
sources
 Provide the ability to
Perform Predictive
Analytics
 Setup High Availability and
DR environments
 Upgrade single instance
database to RAC and
create a dedicated
reporting server

SELECT SUCCESSES
Transportation Consumer Goods/Media Oil & Gas/Chemical
Manufacturing Technology Higher Education
Healthcare Financial Services Energy

Contact Us Within the Next Hour to Receive a Complimentary
Advisory Workshop
 Logical Unified Architecture
 Real-time Oracle BI Apps and Intelligent Processing
 Big Data and Advanced Analytics
 Agnostic Enterprise Information Strategy encompassing all EIM
31
CALL TO ACTION
Pillars

Thank You!
For more information, please contact:
Shiv Bharti, Oracle BI Practice Director
shiv.bharti@perficient.com
312.291.1532 office I 312.659.3233 mobile
www.perficient.com
www.facebook.com/perficient
www.twitter.com/perficient

Fulfilling Real-Time Analytics on Oracle BI Applications Platform

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