In my last column, I described the data modeler's qualifications with respect to the construction and maintenance of the data models. Those skills enable the modeler to build a model that is structurally correct.
This month I will describe another important competency the data modeler must possess in the form of analytical skills. These skills enable the modeler to create a model that correctly represents the business environment and business needs, and they include business focus, scope management, information gathering, information synthesis, recognition of "good enough" and communication.
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