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When building a system for a business, there exists a wide varie= ty of methodologies to choose from, as well as numerous existing models, pr= ofiles and plug-ins across any given enterprise. What should be the startin= g point of the effort, business concepts, is often lost in overwhelming tec= hnical detail. Many profiles are at such an intricate technology level (e.g= ., DDL, XSD, AndroMDA) that a developing team is faced with too many techni= cal choices, leading to inconsistent models. Technology concerns drag down = the level of abstraction to the point in which business concerns = can get "lost in the weeds." Aligning models becomes too difficult and too = much work, resulting almost invariably in disconnected model silos.
A business concept model, unifying business concepts across an enterpris= e, is the basis for a solution to this dilemma. A concept model represents = the concepts and defining relationships of the business. It is a m= odel of the real world of the business, not the data used by business syste= ms. Additionally, the concept model provides the vocabulary for process mod= els that describe the way the business is run. The concept model is created= by capturing the business knowledge of business experts. It is understood = by business experts and validated by business experts.
Data models, defining the definition and structure of data used by a sys= tem, can be built or generated by "subsetting" a concept model. The concept= model becomes the "Rosetta Stone" for enterprise level semantic integratio= n, e.g., automatically generating data transformations between systems with= in the enterprise described by the concept model.
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