Aprioristic methods of the estimation for aggregation degree and productivity of calculations in data warehouse

In given article the approach to an aprioristic estimation of data aggregation degree for a multidimensional hypercube and a technique of increase in speed of performance of analytical inquiries with low and average selectivity for the account of reduction for the computing expenses connected with aggregation of the generalised data is offered.