ABSTRACT
This chapter aims to create awareness for clarity and understanding of uniform master data such as “product” or “party” during the business analysis process. Data profiling comes in two flavors: business or contextual data profiling and technical or out of context profiling. Ralph Kimball’s description of metadata structures is complete and serves a basis for any business analyst who wants to get deeper into the subject. A estimate of data volumes may be useful to determine the technical scope of the project. In the case of heavy security demands the metadata should also include which profiles have access rights to which data. An accessible methodology for exchanging knowledge is any good methodology for structured writing. With Darwin information typing architecture or information mapping, a structured exchange of knowledge becomes feasible through the use of strict information typing, applying some simple guiding principles for copywriting and information presentation.
