Patent AU-2013200860-A1 (AU)
Title: Marketing model determination system
Inventor: GUILD JOHN A
IPC: G06Q30/00
Filed: 2013-02-15
Abstract: A computer-implemented system configured to determine a final model operable to be used to forecast information for a marketing objective, the system including a variable determination module determining at least one variable operable to be used for the final model and determining a modification to the at least one variable, an assumption determination module determining an assumption operable to be used for the final model, wherein the assumption includes a transformation for the at least one variable describing how the at least one variable impacts the marketing objective or how the at least one variable impacts another variable operable to be used in the final model, and the assumption module determines a modification to the assumption, a model generator generating, on a computer processor, a candidate model using the at least one variable and the assumption, and generating a new candidate model using at least one of the modified assumption, the new variable and the modification to the at least one variable, and a model evaluation module determining, on the computer processor, a statistical measure and an indication of relevance for the at least one variable in each of the candidate model and the new candidate model, wherein one of the candidate model and the new candidate model is determined as the final model based on at least one of the statistical measure and the indication of relevance for the at least one variable in each of the candidate model and the new candidate model, wherein the at least one variable includes a multidimensional variable, and each dimension includes a plurality of levels, and the variable determination module identifies the dimension and a level of the plurality of levels for the at least one variable and wherein each dimension is organised in a hierarchy; the system further including a multidimensional data storage system storing, on a computer memory, information for models generated by the model generator, including the candidate model, the new candidate model and the final model, wherein the multidimensional storage system uses a metadata layer and the data layer to store information, the meta data layer storing a relationship between the at least one variable and the marketing objective, an indication of the at least one variable, the dimension and the level for the at least one variable, and the assumption for each of the candidate model, the new candidate model and the final model, and the data layer including data for the at least one variable in each of the candidate model, the new candidate model and final model, wherein the meta data layer stores aggregation rules for the at least one variable, and the storage system is configured to perform multidimensional queries using the aggregation rules stored in the meta data layer, and wherein the data layer includes data that is at the lowest level of each dimension, wherein the aggregation rules determine how to aggregate up to higher levels in dimension. o 'q o LU F- F-~ -J w ~~CD~ <c D 0oz 0-L Z- LU wa:: T =i K Z 6i ~~1 - w zz _ a *)0@ (D CoD t3I <' U-C)