Overview of analyzing data models

At any time when you are building a data model, you can analyze the model to verify that it is compliant with the defined constraints.

Before you analyze a data model, you can set preferences for data model analysis. Then you can use a wizard to specify additional model analysis settings and perform the analysis. Results are displayed in the Problems view.

If you are analyzing a logical data model that has been partitioned into sub-models, the behavior is different depending on the model analysis scenario.

Model analysis scenario	Results
Run the analysis from the main model, with all sub-models loaded.	The scope of the analysis includes the main model and all sub-models.
Run the analysis from the main model, with some sub-models loaded and some sub-models unloaded.	The scope of the analysis includes the main model and all loaded sub-models. The unloaded sub-models are not analyzed.
Run the analysis from a sub-model.	The scope of the analysis includes the sub-model only.

Data model analysis preferences
Use the Preferences window to set preferences for how data models are analyzed.
Analyzing a data model
Use the Analyze Model wizard to analyze a data model to ensure that it meets certain specifications. Model analysis helps to ensure model integrity and helps to improve model quality by providing design suggestions and best practices.
Navigating to data model elements from the Problems view
After you perform a data model analysis, the results are displayed in the Problems view. You can navigate from a problem in the Problems view to the affected resource.

Data model analysis