<P> Dimensional modeling always uses the concepts of facts (measures), and dimensions (context). Facts are typically (but not always) numeric values that can be aggregated, and dimensions are groups of hierarchies and descriptors that define the facts . For example, sales amount is a fact; timestamp, product, register #, store #, etc. are elements of dimensions . Dimensional models are built by business process area, e.g. store sales, inventory, claims, etc . Because the different business process areas share some but not all dimensions, efficiency in design, operation, and consistency, is achieved using conformed dimensions, i.e. using one copy of the shared dimension across subject areas . The term "conformed dimensions" was originated by Ralph Kimball . </P> <P> The dimensional model is built on a star - like schema, with dimensions surrounding the fact table . To build the schema, the following design model is used: </P> <Ol> <Li> Choose the business process </Li> <Li> Declare the grain </Li> <Li> Identify the dimensions </Li> <Li> Identify the fact </Li> </Ol> <Li> Choose the business process </Li>

Four step process for designing a dimensional model
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