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Month, Day, Year Venue City "The performance driven Enterprise" Emerging trends in Enterprise BI Platforms Kostiantyn Stupak Oracle BI representative in Ukraine 2
The Race to Gain Insight 2014? 50% 2009 2007 25% 2008 26% 28% 3
Business Analytics Span Multiple Disciplines 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 Source: IDC Business Analytics Taxonomy IDC, 2011 4
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Greater Efficiency Through Analytics Faster, Smarter Decisions Agility Logistics General Dynamics OSU Medical Center 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 6
Access All Your Enterprise Data Sources Common Enterprise Information Model Oracle, PeopleSoft, JD Edwards, Seibel Hyperion, SAP, other Data Warehouse MODEL ONCE, DEPLOY ANYWHERE OLAP Cubes Unstructured Data XML Files Business Process 7
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 8
Use Analytics to Power Intelligent Business Processes 4 What Does What? 1 What Happened 3 How to Optimize Across Alternatives? 2 Why Did It Happen? 9
Make Analytics Available Wherever You Are By 2013, 33 percent of BI functionality will be consumed via handheld devices Gartner 2011 Predicts body of research, Gartner
Oracle Business Intelligence Mobile An option / feature of Oracle BI 11g Enables ipads and iphones to become another 1 st class BI channel Delivers mobile BI instantly, leveraging existing BI Foundation 11
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Oracle BI Applications Certified 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 13
Analyze the Future Model, Forecast, & Discover Visually explore and discover Model scenarios Forecast and plan 14
Predictive Analytics Enable New Opportunities More Profitable Customer Interactions Data Volumes ecommerce Patterns & Trends Segmentation Predictive Models Real Time Decision Management Call Center Continuous Learning Profiling Store Historic Time Current 15
Introducing Oracle Exalytics BI Machine Extreme Insights into Business Performance NEW First Engineered System for Analytics Extreme performance with lower TCO Smarter Analytic Applications Lowers application migration risk Visualization Without Limits See what you think anytime, anywhere 16
Introducing Oracle Exalytics BI Machine Extreme Insights into Business Performance First engineered system to combine: proven in-memory technology advanced analytics unconstrained data visualization 17
Evolution to Oracle s Engineered Systems Strategy Data Warehousing and Database Consolidation Cloud Computing and Application Consolidation Business Intelligence and EPM Applications 18
Oracle Exalytics: Under the Hood TimesTen for Exalytics Memory Optimized Essbase 1 TB RAM 40 Processing Cores High Speed Networking Adaptive In-Memory Tools Optimized Oracle Business Intelligence Foundation Suite In-Memory Analytics Software In-Memory Analytics Hardware 19
Real Time Analytics Demands High Performance Data Integration Data Movement Transformation Integration GoldenGate ODI DIM DIM SOURCE 1 FACT EMP EMP SOURCE 2 EMP DEPT DIM DIM EMP EMP Heterogeneous Sources ODS Schema DW Schema 20
Building Your Own Analytics Roadmap Start Anywhere, Modular Deployment Operational Reporting Interactive Dashboards Predictive Analytics Scenario Analysis Strategic Scorecards Process Integration 21
Business Analytics From 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 22
Oracle Positioned in Leaders Quadrants Magic Quadrant for Business Intelligence Platforms, 2011 Magic Quadrant for CPM Suites, 2011 Magic Quadrant for Data Warehouse Database Management Systems, 2011 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 23