Data-Oriented Business Modeling
Data modeling is often seen as a technical discipline used only by data professionals for database design. In fact, it is often seen as the same thing as database design. That’s only part of the story, as you will read in this 11-page technical paper.
With the right perspective, techniques, and tools, data models have also proven useful to non-technical stakeholders. For example, business leaders and subject matter experts find that well-structured conceptual models provide a new way to see and understand their business and make business policy decisions.
Three keys to making data models relevant for business professionals are:
• Knowing how to focus on the business before focusing on business data
• Understanding the differences between conceptual, logical, and physical models, and how they each serve different needs and audiences.
• Having specific techniques and supporting tools that are appropriate for non-technical stakeholders.
The paper illustrates these points and provides specific guidelines and techniques for a business-oriented approach to data modeling.
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