By Todd Schraml

Designing a data model that supports the reporting and analytical functions is no different, initially, than any other modeling effort. Understanding the data is crucial. The data architect or modeler needs to feel comfortable with dimensional modeling techniques and needs to obtain a working knowledge of the universe of discourse for the subject-at-hand. A good start in gathering this knowledge begins by reviewing the operational data structures containing the identified source elements. The challenge in designing analytical solutions is found in applying best practices for analytics simply and effectively.

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