1. A computer-implementable method for identifying information within a data repository, comprising: selecting variables of interest within the data repository to provide selected variables; defining a depth of interactions of interest with respect to the variables of interest to provide a defined depth of interactions; applying an optimal experimental design operation to the selected variables and the defined depth of interactions, the applying providing returned data based upon the optimal experimental design operation; and performing operations on the returned data, the returned data providing a sample matrix of the data repository.