Because a business object model is a model of actual business objects and their relationships, it is a reflection of the business user’s image of the business.
Only after this image is completed and agreed upon is the business object model converted into an efficient data model.
This data model is later implemented as a populated data structure.

Starting with a business object model which yields a data structure that is:
Stable - The structure is prepared for unanticipated queries
Flexible - New relationships and new objects can be added without altering the initial data structure
Intuitive - Users can efficiently find the data they need since the data structure matches their view of the world
Complete - Containing all the business objects and relationships (and therefore data) the users care about
Compact - Eliminating unnecessary redundant data and unmanaged data

Data structures which are stable, flexible, intuitive, complete, and compact provide more value to an enterprise and require less resources for maintenance, support, training and enhancements.

Course Outcomes:
Students of Advanced Strategies’ Business Object Modeling Course will return to work with the skills necessary to produce moderately complex object models in their actual work setting. Properly used, these models will form the basis for stable, flexible data structures.

Course Outline:

Fundamental Analysis Concepts What is Analysis? Business Aspects and Models Analysis vs. Design What Happens when Data Analysis is Inadequate	Fundamental Modeling Concepts Types of Facts Types of Models What Does the Model Represent? The Evolution of a Data Structure
Types of Models Breadth Emphasized Perspective Depth Universality Scope of Integration	Fundamentals of Business Object Modeling Entities Relationships Attributes Graphic Representation
Entities Entity Hierarchies Specific vs. Type Entities Associative Entities	Relationships Entities with Multiple Relationships Recursive Relationships Multi-Member Links Relationship Roles
Attribution Attributes vs. Relationships Derivable Attributes Repeating Attributes Attributes as Unique Identifiers Rules of Attribution	Cardinality Cardinality and Time Cardinality and Policy Cardinality Exceptions Consortium Cardinality
Final Case Study Using the Focus Statement Entity/Relationship Diagramming Textual Descriptions Discussion

Who Should Attend:
This course is targeted for Data Modelers, Systems and Business Analysts, Database Administrators and other individuals involved in analysis and design including end-users.

Course Duration:
Four Days

Class Availability: Request It Now!

Materials Provided:
Student Workbook including Case Studies and Live Examples

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