• Enterprise Model Customization

• Implementation Strategies
• Engagements

• Customer Readiness Assessment

• Implementing Customer within a Dynamic Model

• Integrating Customer across the Corporate Information Factory
• Engagements

• Defining Business Rules

• Using Business Rule Classification Schemes

• Incorporating Support for Business Rules into the:

• Technology Architecture
• Development Life Cycle Methodology
• Dynamic Business Model

• Business Rule Management Environments

• Business Rule Extraction from Application Portfolio
• Engagements

• Defining Meta-data
• Meta-Model Development

• Standards and Procedures
• Naming Standards
• Release and Version Control
• Integrating Meta-data management into the Development Life Cycle

• Incorporating Repositories into the Development Environment

• Integrating meta-data management tools

• Data Migration
• Application Portfolio Evolution Conversions *
• In-house developed applications
• Vendor Packages
• Across the Corporate Information Factory
• Operational Data Store
• Data Warehouse
• Data Mall
• Message Contract Specifications

• Product Evaluations
• Repositories
• Modeling Tools
• Information Engineering
• Object-Oriented
• IDEF1X
• Reverse Engineering
• Data Transformation
• Business Rule Management Environments
• Engagements

• Data Modeling in an OO World

• Transitioning from Data Modeling to Object Modeling
• Engagements

• Where's the Customer?

• Business Rules and Meta-data: What's the Difference?

• Meta-data: The Good, the Bad and the Ugly

• Data Modeling and Object Oriented: Coming of Age