Creating a data model involves not only model construction, but also many fact-finding sessions (meetings) to uncover the data and processes used by a business. Running good sessions, like running good meetings of any kind, depends on preparation and real-time facilitation techniques. In general, include the right mix of business and technical experts, and facilitate the modeling sessions. Schedule modeling sessions in advance, carefully plan to cover sets of focused material, and orchestrate it in a way to achieve the results you require.
When possible, it is highly recommended that modeling of function and data be done at the same time. Functional models tend to validate a data model and uncover new data requirements, and helps ensure that the data model supports function requirements.
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