Forgetting that Enterprise Architecture is Alive
Many project plans arrive with a start and end date for the data modeling effort, where the logical model ends one day and the physical model starts the next, with no tasks or resources assigned for refinements. Every phase of a project can lead to refining previous decisions, understandings and changes due to external influences. Traceability is also key to realizing the benefits of an enterprise data management program.
Keeping Data Models Invisible
Models need to be available in an easily searchable manner, including definitions. A model without definitions is just a diagram that could be interpreted in many ways, so it is important to supply the entire model with definitions and appropriate metadata. It makes sense that the more available models are, the more likely they will be used by a wide variety of IT and business professionals. Implementing things like an enterprise data dictionary can ensure data definitions are consistently used and understood across an enterprise. Social media-based features are also emerging in data modeling to encourage more sharing and collaboration.