Further, many claim that OLAP cubes can devise an answer for around 0.1% of the time
as would be taken by OLTP relational data and the mechanism that allows for such rapid speed is the usage of aggregations. These are built from the fact table by altering the granularity on specific dimensions to aggregate data along with the former. Although the detailed methodology is beyond the scope of this article, the fact of the matter is that OLAP servers are increasingly being used by organizations around the world to speed up processes and simplify things for the IT staff.