Course Outline

1. Overview
   
   
2. Spatial Data
   • Spatial Data Concepts
     • Terms
     • Definitions
   • GIS Functions
   • Spatial Data & The BI Organization
   • ESRI Spatial Analysis LAB
     
     
3. Data Mining
   • Introduction
     • Terms
     • Definitions
     • Data Mining Opportunities
     • The Mining Process
   • Individual Techniques
     • Clustering
     • Association
     • Classification
     • Prediction
   • Data Mining Application
   • Data Mining Lab: MS Analytics and IBM OLAP Miner
     
     
4. Meta Data
   • Meta Data Terms
   • Benefits of Meta Data
   • Meta Data Impact
   • The Meta Data Challenge
   • Common Models
   • Point-to-point Bridges
   • Leading Approach
   • An Integrated View
   • The Current State of Meta Data
   • Ascential MetaStage Lab
     
     
5. Portal
   • Decision Portal Overview
     • Terms and Definition
     • Portal Characteristics
     • Cross-discipline
     • Portal Pitfalls
   • How Decisions Effect Design
     • Decision Based Designed
     • Decision Factor Analysis
   • Portal Architecture
     • Process Architecture
     • Process Flow
     • Component Architecture
   • ArcPlan Portal Lab
     
     
6. BAM
   • Terminology Trends
   • Zero-latency
   • Real-time Data Warehouse Alternatives
   • Business Activity Monitoring
   • Network & Systems Management
   • Sagent Enterprise Information Integrator Lab

     Course Description>