Course Outline

1. The BI Organization
• The Basis of Information
• Components of a BI Strategy
• Enterprise Deployment
• Data Structure Dependency
• A Conceptual Architecture
• Applying the Right Tools
• BI is an Iterative Process
• These Are Not Business Requirements
  
  
2. Query & Reporting
   • Definitions and Terms
   • Architecture
   • Analysis, Design & Build Checklists
   • Tool Functionality
   • Project Considerations
     
     
3. Building an OLAP Solution
   • OLAP & The BI Organization
   • OLAP Terms
   • Dimensional Spectrum
   • Business Question Components
   • Dimensional Diagrams
   • A Tuple Cell
   • Hierarchies
   • The Inflation Factor
   • The Challenge With Sparsity
     
     
4. Meta Data
   • Meta Data Terms
   • Benefits of Meta Data
   • Meta Data Impact
   • The Meta Data Challenge
   • Common Model
   • Point-to-point Bridges
   • Leading Approach
   • An Integrated View
   • The Current State of Meta Data
     
     
5. The BI Portal
   • Portal Terms
   • Decision Portal Definitions
   • Decision Portal Characteristics
   • Cross-Discipline Knowledge
   • Decision Based Design
   • Decision Factor Analysis
   • A Portal Implementation Method
   • The Architecture
     
     
6. Data Mining
   • Data Mining & The BI Organization
   • Data Mining Terminology
   • Data Mining Opportunities
   • Mining Drives Analytic Applications
   • Data Mining Scenarios
   • Application of Mining Techniques
   • Effort Distribution
     
     
7. Spatial Data & Analysis
   • Spatial Analysis & The BI Organization
   • Spatial Terminology
   • What is GIS?
   • Spatial Relationships
   • Displaying Spatial Data
   • What Spatial Data Means to You
     
     
8. Real-time Warehousing
   • Terms
   • Zero-latency
   • Real-time Data Warehousing
   • Business Activity Monitoring
   • Network & Systems Management
     
     
9. BI Trends

     Course Description>