Oracle BI EE 11g Features & EnhancementsVisualisation, Essbase Integration
Bojan Ajlec
Principal Sales Consultant, SEE
Business Intelligence & Data Warehousing
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Visualisation & End User Experience
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InteractiveDashboards
Geospatial Visualization
Office Integration
Mobile Reports
Applications & Portals
SearchAd-hocQueries
Collaboration
Scorecards
Unified End User ExperienceComplete. Consistent. Accurate. Many Channels
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InteractiveDashboards
Geospatial Visualization
Office Integration
Mobile Reports
Applications & Portals
SearchAd-hocQueries
Collaboration
Scorecards
Enhanced in 11g
New or radically Improved
Unified End User ExperienceComplete. Consistent. Accurate. Many Channels
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• Extensive user interface improvements
• Find what you want quickly
• Do want you want easily
Interactivity and VisualizationComprehensively Improved Ease of Use
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• Animated transitions
• Range and Paging sliders
• Legend-based interactions
• Master-Detail linking
• Extensive and extended charts
• Consistent, hi-fidelity charting across Oracle product line
New Interactive VisualizationsInteractive, Accessible and Intuitive
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• Powerful dashboards
– Visually Appealing
– Intuitive
– 100% Thin Client
• Across all styles of analysis
– R-OLAP, M-OLAP, Scorecards,
Reporting, Collaboration, Actions
• Across all Data Sources
– Simplified model for users
– Federated data access
– On-the-fly calculations, even with
complex share and time series
– Custom members & groups
– Share, collaborate, & publish
– Consistency & alignment
Interactive AnalyticsPowerful Analysis interface for every class of user
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In effect, Oracle is "flipping the switch" and turning spatial into a product feature when such a capability is needed. It will be daunting to compete against this company.
Microsoft, beware… we haven't heard much about geospatial and SQL Server integration lately… you are in danger of becoming a non-player. And IBM continues to play with ESRI only, and resists striking out on its own in what could be a missed opportunity.
• Most BI data already contains geographic
dimension of analysis
• Deliver deeper analytical insights through
Spatial visualisation and data
• Increase the ROI of BI & GIS systems
Spatial IntelligenceNew Depth and Breadth of Analysis
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RelevantNew Mapping VisualisationUncover Patterns Hidden in Tables
• Gain new understanding of your
customers and markets
• Use geographic insights to
innovate business processes
– Manage location-based assets,
people and property
– Optimize service and sales
territories for greater efficiencies
– Deploy and optimise networks,
infrastructure and utilities with
insight
– Map resources, plan logistics and
prepare for emergencies
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Scorecards and KPIsNew in Oracle Business Intelligence 11g
• Integrated BI Component
– KPIs as Core Metadata
– Thresholds, Owners, History
– Auto-Generated Interactive Analyses
– Linked objectives & Initiatives
• Automatic Detection
– KPI alerts triggered by thresholds
• Strategy Visualization
– Strategy Maps and trees
– Cause and Effects
– Watchlists
– Annotations & Override
• All methodologies
– Balanced scorecard, 6 sigma, Baldrige
Strategy Trees
KPI Watchlists
Cause and Effect
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• 100% Pure Thin Client Interface
– No Plug-Ins, Native AJAX
• 100% Lifecycle Support
– Access Data, Design, Schedule, Manage all in Thin Client
• For Interactive Reporting
– Web-centric design
• For Production Reporting– Pixel perfect documents
• Microsoft Office Integration– PowerPoint, Excel, Word
– MSFT Office 2003 & 2007
Enterprise Reporting and PublishingSelf service reporting for Business Users
Visualisation & End User Experience
DEMONSTRATION
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• Fresh, seamless, multi-channel interface
– New Charting, visualisations and interactivity
– OLAP-style interactions everywhere
– Location Intelligence for new depth of analysis
• Location Intelligence
– New Depth and Breadth of Analysis
– Much improved level of integration
– Deliver deeper analytical insights through Spatial visualisation and data
• Fully integrated Scorecard
– Graphically communicate corporate objectives
– Use within BI Dashboards – monitor performance towards goals
– Open to any data source
Visualisation & End User ExperienceSummary
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Extending BI Analytics with OLAP
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Ad-Hoc Query& Analysis
StandardizedReporting
Past
Forward-looking
Questions
Historical
Questions
Situational
Questions
Modeling andForecasting
Present
Oracle BI EE
Different Questions Used for Measuring
Performance
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REPORTING
Which customers spend the most?
What did this customer buy?
What is the Q4 revenue forecast?
The value of Modeling & PlanningDeeper insights – to decide next course of action
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Ad-Hoc Query& Analysis
StandardizedReporting
FuturePast
Forward-looking
Questions
Historical
Questions
Situational
Questions
Modeling andForecasting
Present
Oracle BI EE Oracle Essbase
Different Questions Used for Measuring
Performance
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REPORTING ANALYSIS , MODELING, PLANNING
Which customers spend the most?
What did this customer buy?
What is the Q4 revenue forecast?
Which customers are most profitable?
What is the customer likely to buy next?
What if demand falls short of forecast?
The value of Modeling & PlanningDeeper insights – to decide next course of action
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Analytics Data Warehouse
Other Data
SAP, Oracle, Siebel,
PeopleSoft, I-flex,
Custom
MSAS/SAPBW
Essbase
Oracle OLAP
Transaction
Systems
Analysis
Engines
OLAPData WarehouseStaging
/ ODS
• Different BI front-ends depending on data store
– Relational tools for relational databases, flat file, Excel, XML etc
– Multi Dimensional tools for OLAP databases
• Different tools, data, security, definitions, skills …
“Relational” style BI “Multi Dimensional” style BI
Problem with traditional BI ToolsRelational vs Multi Dimensional View
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• “Relational” style
– Data appears as flat attributes
– Column based filtering
– Column based calculations
– Ideal for query and reporting
• “Multi Dimensional” style
– Data appears as dimensions
– Member based filtering
– Member based calculations
– Ideal for “train of thought“ analysis
Problem with traditional BI ToolsRelational vs Multi Dimensional View
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• Multi Dimensional and Relational Style access
• Across any Data Dource
• Via a single Unified Interface, supporting multiple channels
Analytics Data Warehouse
Other Data
SAP, Oracle, Siebel,
PeopleSoft, I-flex,
Custom
MSAS/SAPBW
Essbase
Oracle OLAP
Transaction
Systems
Analysis
Engines
OLAPData WarehouseStaging
/ ODS
Oracle Business Intelligence 11gThe best of both worlds
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Full-fidelity Oracle Essbase IntegrationLeading M-OLAP Server
• Self-Service and Departmental Analysis
– Forward-looking: Prediction & what-if analysis
– Simple to model complex business scenarios
– Sophisticated, cross-dimensional calculations
– Procedural, financial, time series & custom calculations
– Custom analytic applications
– Multi-user write-back
• Best M-OLAP Performance & Scalability
– Flexible storage – Block, Aggregate & Hybrid
– Optimized load performance, trickle feed
– High-availability clustering
– Benchmarked sub-second response time with 20,000
concurrent users, 15 dimensions, 1 billion records
• Integrated with Oracle BI and Oracle EPM
– Shared metadata, calculations, dimensions, security
– Full-fidelity hierarchy and feature support
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Creating Scenarios is Fast and EasyOracle Essbase
Powerful Calculator• Hundreds of built in functions and algorithms
• Trending
• Goal seeking
• Procedural calculations
Financial Intelligence• Critical for Variance Analysis, understands better / (worse)
• Essbase understands Financial Data and Calculations
• Time Balances
Time Intelligence• Time Series calculations are hard to do
• Yet, an extremely common BI requirement
• Essbase makes it very easy at any level, any dimension, for any type of calendar
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• Automatic account/measure hierarchy
• Supports multiple Alias tables
• Automatically adds UDAs
• Value-hierarchy modeling
• Alternate hierarchies automatically imported
• Automatic member order column
• Improved function shipping
Oracle Business Intelligence 11gAccessing Oracle Essbase
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Extending BI Analytics with OLAP
DEMONSTRATION
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Extending BI Analytics with OLAPSummary
• Single interface for Relational and Multi Dimensional style access
– Use “Relational” style attribute columns or “Multi Dimensional” style
hierarchical columns
• Rich interactive multi dimensional analysis
• Works with any combination of data sources
– Relational, flat file, ODBC, OLAP, XML …
• Supports all BI EE federation features
– Partitioning by measure, level, within levels, time …
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