Automatic analysis of difference between multi-dimensional datasets

A device comprising:

• a processing unit;
• and
• a memory coupled to the processing unit and having instructions stored thereon which, when executed by the processing unit, perform acts of:
• receiving an analysis request for a first dataset and a second dataset, each of the first and second datasets including data items corresponding to a plurality of dimensions;
• in response to the analysis request, comparing the data items corresponding to a first dimension of the plurality of dimensions in the first and second datasets;
• determining, based on the comparison, a first set of influence factors associated with the first dimension, each of the first set of influence factors indicating a reason for a difference between the first and second datasets from a respective perspective of the first dimension;
• and
• presenting, based at least in part on the first set of influence factors, an analysis result related to the difference between the first and second datasets, wherein presenting an analysis result related to the difference between the first and second datasets further comprises:
• further comparing the data items corresponding to a second dimension of the plurality of dimensions in the first and second datasets;
• determining, based on the further comparison, a second set of influence factors associated with the second dimension, each of the second set of influence factors indicating a reason for the difference between the first and second datasets from a respective perspective;
• determining at least one set of the first and second sets of influence factors;
• and
• presenting, based on the determined at least one set of influence factors, the analysis result for the first and second datasets.

A computer program product stored in a non-transient computer storage medium and including machine-executable instructions which, when executed by a device, cause the device to:

• receive an analysis request for a first dataset and a second dataset, each of the first and second datasets including data items corresponding to a plurality of dimensions;
• in response to the analysis request, compare the data items corresponding to a first dimension of the plurality of dimensions in the first and second datasets;
• determine, based on the comparison, a first set of influence factors associated with the first dimension, each of the first set of influence factors indicating a reason for a difference between the first and second datasets from a respective perspective of the first dimension;
• and
• present, based at least in part on the first set of influence factors, an analysis result related to the difference between the first and second datasets, wherein presenting an analysis result related to the difference between the first and second datasets further comprises:
• further compare the data items corresponding to a second dimension of the plurality of dimensions in the first and second datasets;
• determine, based on the further comparison, a second set of influence factors associated with the second dimension, each of the second set of influence factors indicating a reason for the difference between the first and second datasets from a respective perspective;
• determine at least one set of the first and second sets of influence factors;
• and
• present, based on the determined at least one set of influence factors, the analysis result for the first and second datasets.