1. A computerized method for automatically determining at least one variable dimension for a multi-dimensional database table, said multi-dimensional database table also comprising at least one pre-defined measure dimension for storing values of at least one measure type, the method comprising the steps of: determining a set of input records, each of said input records comprising a value of at least a first measure type and associated values of a plurality of variable types, said variable types representing candidates for a variable dimension; and calculating a regression function for use as a prediction model of said value of said measure type, said regression function depending on values of a subset of up to M most significant of said plurality of variable types; and determining said most significant variable types as variable dimensions of a multi-dimensional database table.