Appendix #1- The detailed proposed content structure for BI Encyclopedia

This initiative comprehensively covers all aspects of Business Intelligence including non-BI Data and information management. The sections included are:

BI Architecture and Governance

• Business Intelligence- Demystified
• Business Intelligence Evolution
• Business Intelligence Organization and Governance
• Business Intelligence Architecture Components
• Business Intelligence Architecture- Scenarios
• BI Storage Architecture (MOLAP, HOLAP, ROLAP..)

Data Quality (including Data Profiling and Data Mapping & Assessment)

• Data Quality Overview*
• Data quality Assurance*
• Data Quality Monitoring
• Data Mapping and Assessment (including Data Profiling)
• Data Quality Program
• Customer (Master) Data quality (Overview, Searching, Cleansing, Correcting, Augmenting, Assuring)
• Transactional (Non-Master) Data Quality*(Overview, Searching, Cleansing, Correcting, Augmenting, Assuring)
• Data Quality Methodologies (Standard pre-defined methodologies and how they help..This is linked to the Data Quality Program)

Data Integration (including Data Federation, EII)

• Data Integration-Concepts (inluding architecture, technologies..)
• Requirements Analysis for Data Integration
• Design for Data Integration
• Construction, Deployment and Operations

Meta-Data Management

• Metadata Management overview
• Technical Meta data
• Business Metadata
• Meta-Data Architecture
• Meta-Data Repository Project

Data Warehouse

• Data Warehouse Overview
• Data Warehouse Project
• Data warehouse Business Requirements
• Dimensional Modeling- Concepts
• Dimensional Modeling – Process
• Data Warehouse Design & Architecture
• Data Warehouse Testing and Implementation
• Data Warehouse Maintenance and Operations

OLAP

• OLAP-Overview
• Basic OLAP Analysis
• Advanced OLAPAnalysis
• Business and Dimensional Hierarchies
• Additivity of Measures

Master Data Management

• Master Data Management- Overview
• Customer Data Integration
• Product Data Integration
• Vendor-Supplier Data Integration

Enterprise Reporting

• Enterprise Reporting – Overview
• Working with Data
• Report Layout and items
• User Interactivity and Appearance
• Report Objects and Usage

Data Analysis

• Data Interpretation
• Statistical Data Analysis
• Sensitivity Analysis

Data Mining

• Data Mining- Overview
• Data Pre-processing
• Data Characterization and Comparison
• Data Association Rules
• Classification and Prediction
• Cluster Analysis