Data modeling advantage: The vendor offers a robust modeling tool that delivers visualizations of physical, conceptual and logical data structures. The platform can generate SQL scripts, thus ...

Cost reduction: Data modeling may seem like an extra step in the process, but it is a cost-effective one. The process can prevent potential oversights and glitches that often cost companies dearly.

The integrated view of conceptual, logical, and physical data models helps users to understand the information and ensure the right information is used across an entire enterprise.

Physical: Design a model for implementing the logical model that considers the RDBMS to be used. During this phase, you’ll describe tables, indexes, and so on. The physical model is built on tables.

Transforms data models into UML, Cubing Services, Cognos, logical-dimensional, physical-dimensional and XML schema. Enables domain modeling, data model analysis, and glossary and naming models.

An enterprise conceptual data model is often seen as a high mountain to be climbed, a journey that will last a lifetime. People have visions of 10 feet or more of wall in the corporate offices ...