Logical Data Modeling explores business rules, policies and procedures and how they can be modeled effectively. Participants will learn entity relationship diagramming, super and sub-types, attributive and associative entities, and documenting data constraints. The logical data modeling approaches focus on the important requirements of the business that are discovered through significant user involvement during the analysis phase. You will also learn how to create models without being limited by technology or organizational structure.

The ability to communicate the intersection of business processes and information/data needs is key to the success of any software development project. Understanding and explaining user needs is a major challenge and opportunity for the business analyst. The business analyst who understands structured modeling has a distinct advantage in addressing and communicating requirements. And the use of models can greatly increase all stakeholders’ understanding of the relevancy of business rules and data management requirements to the project at hand.

Reminder: Prior to taking this course, you should have acquired the background as taught in How to Gather and Document User Requirements, Process Modeling Management and Use Case Modeling.

This course is aligned with version 2.0 of the Guide to the Business Analysis Body of Knowledge (BABOK)™.