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Copyright © 2013, Oracle and/or its affiliates. All rights reserved.

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.
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Jack Berkowitz – VP, BI Product Management
July 2013
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 Report on operational data in near real time
– Example : What are my customer orders in my New York warehouse today?
Query and analyze operational and historic information
– Example : How many of these customers had late deliveries in the past year?
Analyze information across multiple dimensions
– Example : Summarize # of orders by these customers and revenue impact by sales territory;
Summarize whether delayed orders disproportionately affect particular customer segment
Compare information to financial plans and budgets
– Example : What is the potential affect of revenue / profit shortfall associated with these segments?
Analyze unstructured / social data to identify any correlations
– Example : Have the customers who are affected by delays complained in feedback forums to customer service or on social media about my product delays?
Apply predictive models to determine future outcomes
– Example : Are these existing or related customer segments prone to future churn?
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 Report on operational data in near real time
Operational Reporting
Query and analyze operational and historic information
Relational OLAP (R-OLAP) / Ad-hoc Query & Analysis
Analyze information across multiple dimensions
Multi-Dimensional OLAP (M-OLAP)
Compare information to financial plans and budgets
Planning, Budgeting & Forecasting
Analyze unstructured / social data to identify any correlations
Unstructured / Big Data Analytics
Apply predictive models to determine future outcomes
Predictive Analytics
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Operational Reporting Ad-hoc Query & Analysis Multi-dimensional OLAP
OLTP Operational
Data Store
Planning & Budgeting
OLTP
Planning
System
OLTP Warehouse or
Data Mart
Unstructured Analytics
Warehouse
Social Data
VoC
Analytics
OLTP OLAP
Predictive Analytics
Statistical and other Models
Predictive
Outcomes
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Shared, consistent metadata enables federated views
Operational Reporting Ad-hoc Query & Analysis Multi-dimensional OLAP
Targets / KPIs populate scorecards
Historical data informs planning assumptions
Planning & Budgeting
Combine structured and unstructured data
Unstructured Analytics
Predictions provide input for planning assumptions
Predictive Analytics
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Any Data,
Any Source
Any Format
Full Range of
Analytics,
Integrated
Integrated
Analytic
Applications
On Premise,
On Cloud,
On Mobile
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Any Data,
Any Source,
Any Format
Your Data:
Decisions based on your data
Big Data:
Decisions based on all data relevant to you
Transactions Oracle
Documents
Social Data
Machine-Generated Data
SAP
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Full Range of
Analytics,
Integrated
Analytical Tools
Reporting &
Analysis
Multi-
Dimensional
Planning &
Budgeting
Unstructured
Analytics
Predictive
Analytics
ROLAP MOLAP Unstructured
Analytical Engines
Predictive
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Out-of-the-Box
Analytic
Applications
• Financials
• HR
• Procure & Spend
• Projects
• Supply Chain
• Order Management
• Financial Close
• Strategic Planning
• Planning & Forecasting
• Profitability Management
• Sales
• Marketing
• Service
• Contact Center
• Price
• Loyalty
• Communications
• Healthcare
• Retail
• Public Sector
• Financial Services
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Integrated
Analytic
Applications
Late Payment
Trend
Headcount
Budget Analysis
Analytics
Forecast
Update
Finance HR Sales
Hold
Credit
Approve
Hire
Approve
Discount
ACTION
Supply
Shortfall
Supply
Chain
Change
Request
Poor Campaign
Results
Marketing
Redirect
Funds
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Mobile &
Cloud
Deployment
• Self-service
• Multi-tenant enabled
• Full range of
BI capabilities
• Mobile consumption without any content re-work
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Oracle Business Intelligence Foundation 11.1.1.7
New Visualizations & Interactions New Office & Smart View Enhancements
New BI Mobile Enhancements
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Oracle BI
Hive
Hadoop MR
HDFS
New BI Server - Exalytics & Big Data New BI Publisher Enhancements

New and Improved Visualizations
Performance Tiles
Immediately reveals summary metrics to the end user that will likely also be presented in larger, more detailed Dashboard views.
100% Stacked Bar
Compare distributions within categories and also display the differences between categories
Freeze Headers
Anchor the header for large tables or pivot views
Waterfall
Determine how an initial value is affected by a series of intermediate positive or negative values
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View Suggestions
An algorithm will determine which visualization type would be best suited for the display of current data
Trellis Chart Grid
Data-dense view type displays large amounts of data for comparative analysis.

User Interaction Improvements
Navigation / Actions from Totals
Pass context to any Action Framework process
Breadcrumbs
Contextual awareness and
Breadcrumbs for easy navigation
Save As
Analysis on
Dashboard
New Save-as option when editing Analysis from dashboard replace the updated analysis within the dashboard
Better Search
Facet-based UI for full-text search for Oracle BI, leveraging Endeca MDEX technology
Trellis Actions
Context per bar in Simple Treliis
Action for entire cell in Advanced Trellis
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Office Integration Improvements
Export Dashboards &
Dashboard Content
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Export Report in Native Excel &
PowerPoint formats (2003, 2007+)
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Export Dashboard or Dashboard page;
Dashboard pages appear as separate
Excel worksheets
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BI Presentation Catalog in
Smart View
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Smart View 11.1.2.2 replaces the existing
Oracle BI Add-in as the primary Office application
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Full support for BI dashboard page and report prompts
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Enhanced security including single sign-on
BI View Creation in
Smart View
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Answers View creation from Excel
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Save in Excel or as an Answers View
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Publish and save in the OBIEE Web Catalog
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OBI Data is accessible to other Smart View providers (e.g. Planning, HFM, DM)

Production Reporting Improvements
Export Dashboard to BI Publisher
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Export Dashboard to BI Publisher Layout, with automatic
Data Model & Report creation, and export of supported
Views and styles
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Export Dashboard to Office formats
Template Based
Printing of Dashboards
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Pixel-perfect printing of Dashboards
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Associate multiple templates to
Dashboard
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Dashboard state supported
BI Publisher Direct Access to Semantic Layer
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Use one or more subject areas to create reports in Publisher
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No need to create a data model beforehand
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Execute logical SQL directly against BI
Server using JBIPS
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Oracle BI Mobile Improvements
Maximize Views
Double-tap to maximize/restore view; utilizes full consumable real-estate on the device
Advanced Visualizations
Performance Tile, Waterfall, Trellis views enabled for mobile interactions; Swipe gesture to navigate data in tables
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BI Publisher Integration
Offline support and fully interactive views on BI
Mobile client
BI Mobile Security Toolkit
Available via OTN download. Supports the internal delivery of a packaged/certified BI
Mobile application. Specialized licensing restricts customizations to security modifications

Integrating with Big Data and Streaming Data
Oracle BI Server
Hive QL / ODBC
Hive
Hadoop MR
HDFS
Hadoop Integration
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BI Server generates Native HiveQL
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Query data directly from Hadoop through Hive
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Integrate Hadoop data with other
OBI sources
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Leverage Exalytics against Big
Data sources
Oracle BI Server
CQ / ODBC
CQ Service
BAM Server
CEP Integration
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BI Server generates CQ
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Query Business Activity Monitoring data through Complex Event
Processing Gateway
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Integrate BAM data with other OBI sources
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Leverage Exalytics against continuous data sources
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Simplicity of Search, Power of Discovery
 Self-Service Data Discovery
– Walk-up ease of use
 Contextual Search + Faceted
Navigation + Visual Analysis
– In-Memory Performance
– Leverage Existing BI Investments
 Unstructured and Structured Data
– Content Acquisition and Text Enrichment
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OEID Studio
Create and share discovery applications that anyone can use
Oracle Endeca Server
Analyze new combinations of data with agile enterprise IT infrastructure
OEID Integrator
Integrate and enrich structured and unstructured data
Structured Data
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Copyright © 2013, Oracle and/or its affiliates. All rights reserved.
Unstructured Data
 Endeca Information Discovery 3.0
Self-service data upload
Wide range of drag and drop visualizations
Redesigned end user experience
 Endeca Server 7.5
Self-service provisioning
Simple for IT to manage
 Endeca Integrator 3.0
Integrated Text and Sentiment Analysis
Robust acquisition system for file/web crawls
Multi-lingual support

OEID Studio 3.0
 Upload local files (Excel) into
Endeca Server and create personal apps
 Mash them with the applications based on curated data sets provisioned by IT
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Indirect Spend Planning
Student Information Analytics
New Applications
 Financials
 HR
 Projects
 CRM
 Procurement & Spend
 Supply Chain & Order
Management
New Content Enhancements
New OBIEE 11.1.1.7
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Copyright © 2013, Oracle and/or its affiliates. All rights reserved.
Oracle
GoldenGate
Oracle Data
Integrator
New Data Integration
 Data Lineage
 ETL Validation
 GUI Based Configuration
 Functional Setup Tool
New TCO Tools

New Content
• FINANCIAL ANALYTICS
– Commitment Control & Public Sector Financial/Budget
Analysis (EBS & PSFT)
– Fixed Assets (EBS)
• HR ANALYTICS
– Time & Labor (EBS & PSFT)
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Global Payroll (PSFT)
– Transfers (EBS & PSFT)
• PROJECT ANALYTICS
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Resource Management (EBS & PSFT)
– Cross Charge (EBS & PSFT)
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Forecasting Enhancements & Commitments (PSFT)
– GL Reconciliation (EBS & PSFT)
• CRM ANALYTICS
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Service Analytics Enhancements (EBS)
– Price Analytics (EBS)
• PROCUREMENT & SPEND ANALYTICS
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Sourcing Analytics
– Enhancements to Change Orders and
Agreements
• SUPPLY CHAIN & ORDER MANAGEMENT
ANALYTICS
– Costing
– Inventory Cycle Count
–
Other Enhancements
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Copyright © 2013, Oracle and/or its affiliates. All rights reserved.

Leveraging Oracle Procurement & Spend Analytics
 Indirect Spend Planning enables procurement teams to forecast indirect spend, and use packaged what-if modeling tools to reduce spend
 Pervasive context from BI helps planners make better decisions about supplier allocations
 Integration to Oracle ERP business rules means more accurate plans based on realworld constraints
 Leverages existing Procurement & Spending
Analytics data model and ETLs
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New Module: Oracle Student Information Analytics
 Insight into Student Success &
Institutional Performance
 Integrated view of admissions, recruiting, student records and student financials
 Cross-functional analysis with
– Financial Analytics
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HR Analytics
Procurement & Spend Analytics
 Certified for PeopleSoft Campus
Solutions 9.0 Bundle #25
 Exalytics and BI Mobile certified
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Copyright © 2013, Oracle and/or its affiliates. All rights reserved.

New Technologies: Oracle Data Integrator and GoldenGate Integration
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Oracle Data Integrator
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
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Oracle Golden Gate option for BI Apps
Reduce load on source system by streaming data continuously into persistent store in the DW
More reliable change data capture and delete support
Enable near real time DW refresh
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Copyright © 2013, Oracle and/or its affiliates. All rights reserved.

New Tools: to Accelerate OBIA Deployments
Configuration
Manager
Administrative UI to manage system configuration for your
BI Applications
Functional Setup
Manager
Administrative UI to track & manage implementation projects and required functional setup steps
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Data Lineage
Analysis
Allows customers and implementers to track lineage from source to target
ETL Validation
Utility
Provides scripts and validation reports comparing source and target data

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Innovation & Investment Priorities
 In-Memory
 Visualizations
 Mobile
 Unstructured Analytics
 Big Data
 Predictive Analytics
 Analytic Application Portfolio
 Cloud
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Product Themes
 Self-Service
 Radically Simple
 Visually Stunning
 Lifecycle Enabled
 Measurement & Feedback
 Performance and Scale
 Mobile
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Heatmap
Shows distribution and reveals patterns via colored individual values displayed in a matrix
Timeline Analysis
Represents key events over a particular period and surfaces supporting detail as needed
Thematic Map
Focuses on specific themes to emphasize spatially-based variations in data
Histogram/Chip Display
Plots density and allows estimation by showing a visual impression of the distribution of data
Treemap
Shows patterns in data by displaying hierarchical
(tree-structured) data as sets of nested rectangles
Hierarchy Wheel
Illustrates the relative impact of each contributing level on the distribution of values in a hierarchy
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Keep Keep
Show Data
Interactive Trellis
Allows advanced interaction for Trellis view – i.e., selection marquees for specific data points, sets of cells to include, exclude, show data, etc.
In-line Planning
Integration of BI + Essbase at scale for real-time planning and scenarios driven by interactive controls. Drastically reduce planning cycles and impact analysis.
Motion Chart
Shows changes to reveals trends over time. This view would augment existing time controls and be especially useful for demographic and e-commerce data
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Flow Analytics
Provides views on the transition between states, such as a Sales Pipeline, Issue states, or Funding pathways. Key to understanding Relationships across organizations.

Available Today!
BI Mobile Consumer
Planned
BI Mobile App Designer
IT Controlled – Managed, Consistent
• Support users throughout their work.
• Enterprise or Operational
• Sophisticated and reusable content
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Function Specific
– Tailored to Service
• Purposeful, pre-built apps for reporting
• High fidelity design and layout
• Multi-source, cloud data and task-oriented

Key Strategic Themes
 Deliver integrated analytics supporting Oracle’s Cloud Apps
– OTBI for Fusion, Taleo, Rightnow, Eloqua
 Cloud Adapters to support coexistence and cross-functional analysis
– BI Apps DW as a bridge between on premise and cloud sources
 Add functional coverage and lower TCO to increase appeal of the suite
– Module completion, new source adapters
 Expanded value proposition through new analysis types
– Essbase for what-if analysis ,Endeca for unstructured analysis, Advanced
Analytics for predictive metrics
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Key Strategic Themes
 Self-service
– Data source breadth
– Automatic data refresh
 Performance and scale
– Data size
– Search innovations
 End user experience
– Extensible visualizations
– Link and graph analysis
 Mobile and Cloud
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Q&A

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