Often it is necessary to approach to the theory, to understand when it comes to Business Intelligence and Data Warehouse. Our friend Julia tells us in a pleasant, simple and clear theory of Data Warehouse.
Evolution of a Data Warehouse
A Data Warehouse is a system closely related to mid-sized organizations - large. And, like the organizations they are linked to the data warehouse are living systems and constantly evolving. To understand the potential of our data, it is best to begin to build it and let the users understand what is and what you can do with it. To better understand the architecture to be taken our data is starting to build it and see how the information is consolidated and behaves. By this I mean ... that the best way to deal with the creation of a Data Warehouse is to do it in phases.
... and reached the last day
Day 7 or Day N
architecture is already developed to 100%. On the operational side, the source systems, there are only operations and all analytical queries made in the Data Warehouse or Datamarts. Each department now has its needs Anaite mart from which they work and was even beginning to get their data from, and what-if analysis, etc. scenarios. 
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