✓ The breadth; the number of different subjects and focus points, for example, or the number of different functional or regional organizations that will use it
✓ The number of sources that will provide raw data
✓ The means by which data is moved from source applications and loaded
into the data warehouse
✓ The business rules applied to the raw source data to produce high quality data assets
✓ The target databases in which data assets are stored
✓ The data assets; the elements, the level of detail in each element, and
how much history is being maintained, for example
✓ The business intelligence, front-end tool used to access the data assets
✓ The overall architectural complexity of the environment