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Once the DSV is ready, the cube is built. The basic structure of the cube is similar or identical to the DSV, but then the cube can be greatly expanded. Dimensions can have hierarchies added to them. Cubes can contain calculations that would be difficult or impossible to do using relational tables. Cubes may have key performance indicators, actions, perspectives, and other features available only to cubes; features that are simply not available in relational databases. Finally, a cube must be processed in order to read the data from the source system or systems and store it in a structure built for the speed of retrieval. Aggregations are often calculated at this time. Many organizations perform nightly or weekly updates, although monthly updates are not uncommon, nor is it uncommon to perform incremental updates throughout the day if the need for timely data is high. Finally, once the cube is built, consumers are ready to begin accessing the data and reaping the benefits of the BI project. The rest of this book is dedicated to the tools that allow end users to access the data and make sense of it. The next chapter will introduce scorecards and key performance indicators, techniques often used by higher level management, but accessible to anyone. CHAPTer OBJeCTiVeS
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