Data Modeling Masterclass 2012

Overview to the Data Model Scorecard®
The Scorecard is a set of ten categories for validating a data model. We will explore best practices from the perspectives of both the modeller and reviewer, and you will be provided with a template to use on your current projects. Each of the following categories heavily impacts the usefulness and longevity of the model. Our discussion of them will be accompanied by many examples.

Understanding subject area, logical, and physical data models
Ensuring the model captures the requirements
Validating model scope
Following acceptable modelling principles
Determining the optimal use of generic concepts
Applying consistent naming standards
Arranging the model for maximum understanding
Writing clear, correct and consistent definitions
Matching the model with the enterprise
Comparing the metadata with the data