Data modeling is often seen as a technical activity, indistinguishable from database design. However, with the right perspective and techniques, data models are extremely useful to other stakeholders:
• Business professionals find that well-structured conceptual models help them understand their business in a new way and make better-informed policy decisions;
• Business process specialists clarify language and processes through data models;
• Business analysts use data models to uncover more complete requirements in less time.
One key to accomplishing these is understanding how different types of models – contextual, conceptual, logical, and physical – serve different needs and audiences. Another key is having techniques and supporting tools that are appropriate for the needs and wants of diverse stakeholders.
This white paper will show how this can be accomplished by providing specific guidelines and techniques for a business-oriented approach to data modeling. Everything is backed up by real examples drawn from 30 years of successful data modeling experience.