As we’ve discussed in previous articles, a high-level data model is used to convey the core concepts and/or principles of an organization in a simple way, using concise descriptions. The advantage of developing the high-level model is that it facilitates arriving at common terminology and definitions of the concepts and principles

There are ten steps that are required to successfully develop a high-level data model. Although you can start some of the steps out of sequence, they need to be completed in the order they appear. For example, you might find yourself jotting down stakeholders (Step 2) before identifying the purpose of the model (Step 1). However, you will need to revisit your model stakeholder list after finalizing the purpose of the model.

Register or login for access to this item and much more

All Information Management content is archived after seven days.

Community members receive:
  • All recent and archived articles
  • Conference offers and updates
  • A full menu of enewsletter options
  • Web seminars, white papers, ebooks

Don't have an account? Register for Free Unlimited Access