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Data Modeling Sessions

Creating a data model involves not only construction of the model, but also numerous fact-finding sessions (meetings) that uncover the data and processes used by a business. Running good sessions, like running good meetings of any kind, depends on a lot of preparation and real-time facilitation techniques. In general, modeling sessions should include the right mix of business and technical experts and should be facilitated. This means that modeling sessions are scheduled well in advance, carefully planned to cover sets of focused material, and orchestrated in such a way that the desired results are achieved.

When possible, it is highly recommended that modeling of function and data be done at the same time. This is because functional models tend to validate a data model and uncover new data requirements. This approach also ensures that the data model supports function requirements.