24
1
1
2
"The performance driven Enterprise" Emerging trends in Enterprise BI Platforms
Kostiantyn StupakOracle BI representative in Ukraine
Month, Day, Year
Venue
City
3
The Race to Gain Insight
25%26%
28%
50%
2007
2008
2009
2014?
4
Business Analytics Span Multiple Disciplines
Source: IDC Business Analytics Taxonomy IDC, 2011
Financial Performance &
Strategy Management
Supply Chain
Analytic Applications
Production Planning
Analytic Applications
CRM
Analytic Applications
Services Operations
Analytic Applications
Workforce Analytic
Applications
Query, Reporting and
Analysis Tools
Advanced Analytics Tools Content Analysis Tools Spatial Information
Analytics Tools
Data Warehouse
Management
Data Warehouse
Generation
5
6
“Reduced HR report
generation time from
6 weeks to 10
seconds, and
projects $5.3M
savings over next 5
years
“Shortened it’s financial
reporting cycle from over
35 hours to less than 4
hours.
“Ohio State University
Medical Center reduced
clinic wait time from 120
minutes to 26 minutes
Greater Efficiency Through Analytics
Agility Logistics General Dynamics OSU Medical Center
Faster, Smarter Decisions
7
Access All Your Enterprise Data Sources Common Enterprise Information Model
Data WarehouseOracle, PeopleSoft,JD Edwards, Seibel Hyperion, SAP, other
XMLFiles
BusinessProcess
OLAPCubes
UnstructuredData
MODEL ONCE,
DEPLOY ANYWHERE
8
Enable Self Service Business Intelligence
Easy Report Authoring
― Semantic model
― Wizards & templates
Rich End User Control
of Dashboard Views
― Prompts, filters, radio
buttons, sliders
― Master detail linking
9
Use Analytics to Power Intelligent Business Processes
3 How to OptimizeAcross Alternatives?
1 What Happened
2 Why Did It Happen?
4 What Does What?
2011 Predicts body of research, Gartner
By 2013, 33 percent of BI
functionality will be consumed
via handheld devices
Make Analytics Available Wherever You Are
Gartner
11
Oracle Business Intelligence Mobile
An option / feature of Oracle BI 11g
Enables iPads and iPhones to
become another 1st class BI channel
Delivers mobile BI instantly,
leveraging existing BI Foundation
12
13
Oracle BI ApplicationsCertified for Oracle Business Intelligence 11g
Adopts OBI 11g Presentation Features
― Master Detail Linking
― Chart Sliders & Zooming
― Hierarchical Columns
― View prompts
― Cascading Prompts
Adopts 11g Security Model
― Role based, not group based
Mobile-ready
14
Analyze the FutureModel, Forecast, & Discover
Visually explore
and discover
Model scenarios
Forecast and plan
15
Predictive Analytics Enable New Opportunities
Current
Data
Volumes
Historic Time
Patterns
& Trends
Segmentation
Profiling
Predictive
Models
Continuous
Learning
Real Time Decision
Management
Store
eCommerce
Call
Center
More Profitable Customer Interactions
16
Introducing Oracle Exalytics BI Machine
Extreme Insights into Business Performance
First Engineered System for AnalyticsExtreme performance with lower TCO
Smarter Analytic ApplicationsLowers application migration risk
Visualization Without LimitsSee what you think anytime, anywhere
NEW
17
Introducing Oracle Exalytics BI Machine
First engineered system to
combine:
•proven in-memory technology
•advanced analytics
•unconstrained data visualization
Extreme Insights into Business Performance
18
Evolution to Oracle’s
• Engineered Systems
Strategy
Data Warehousing
and Database
Consolidation
Cloud Computing
and Application
Consolidation
Business
Intelligence
and
EPM Applications
19
Oracle Exalytics: Under the Hood
In-Memory Analytics Software
Memory Optimized
Essbase
TimesTen for Exalytics
Adaptive In-Memory Tools
1 TB RAM
40 Processing Cores
High Speed Networking
In-Memory Analytics Hardware
Optimized Oracle Business Intelligence Foundation Suite
20
Real Time Analytics Demands High Performance Data Integration
EMP EMP
Heterogeneous
Sources
EMP EMP
SOURCE 1
SOURCE 2
EMP DEPT
ODI
FACT
DIM
DIMDIM
DIM
Data Movement
Transformation Integration
ODS Schema DW Schema
GoldenGate
21
Building Your Own Analytics RoadmapStart Anywhere, Modular Deployment
Operational
Reporting
Interactive
Dashboards
Predictive
Analytics
Scenario
Analysis
Strategic
Scorecards
Process
Integration
22
Business AnalyticsFrom Storage To Scorecard
Oracle Hyperion Performance Management Applications
Oracle Business Intelligence Applications
Oracle Business Intelligence Foundation
Oracle Data Integrator
Oracle Golden Gate
Oracle Exadata
Oracle Data Mining
Oracle OLAP
Oracle Partitioning
23
Oracle Positioned in Leaders Quadrants
The Magic Quadrant is copyrighted 2011 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.
These Magic Quadrant graphics were published by Gartner, Inc. as part of larger research notes and should be evaluated in the context of the entire reports. The Gartner reports are available upon request from Oracle.
Sources: Gartner, Inc., “Magic Quadrant for Business Intelligence Platforms, 2011” by Rita L. Sallam, Bill Hostmann, James Richardson, John Hagerty. 27 January 2011
Gartner, Inc., “Magic Quadrant for CPM Suites, 2011 “ by Neil Chandler, John E. Van Decker, 8 March 2011
Gartner, Inc., “Magic Quadrant for Data Warehouse Database Management Systems, 2011” by Donald Feinberg, Mark A. Beyer, 28 January 2011
Magic Quadrant for Business Intelligence
Platforms, 2011
Magic Quadrant for CPM Suites, 2011
Magic Quadrant for Data Warehouse Database
Management Systems, 2011
