User-relevant statistical analytics using business intelligence semantic modeling

21:

• The computer program product of claim 19,
• wherein the structured representation of the set of data comprises a graph that represents the set of data, and
• wherein receiving the input defining the selected subset of data from the structured representation of the set of data comprises receiving a user input via a user interface selecting a portion of the graph.

22:

• The computer program product of claim 19, wherein performing the statistical analysis of the selected subset of data comprises performing the statistical analysis of the selected subset of data in comparison with a remaining portion of the set of data not included in the selected subset of data.

23:

• The computer program product of claim 19, the program code further executable by the at least one processor to:
• prior to performing the statistical analysis of the selected subset of data, use the business intelligence model to prepare the selected subset of data for the statistical analysis.

24:

• The computer program product of claim 19,
• wherein performing the statistical analysis of the selected subset of data based at least in part on the selected one or more business intelligence factors comprises identifying one or more overlapping identifiers in the selected subset of data, and
• wherein generating the output representing the statistical analysis of the selected subset of data based at least in part on the selected one or more business intelligence factors comprises removing redundancies of the one or more overlapping identifiers from the selected subset of data.

25:

• The computer program product of claim 24, wherein the one or more overlapping identifiers comprise two or more nested temporal identifiers.

26:

• The computer program product of claim 25, wherein performing the statistical analysis of the selected subset of data based at least in part on the selected one or more business intelligence factors further comprises applying metric correlation analysis, including lead time detection and lag time detection, on the selected subset of data based at least in part on the two or more nested temporal identifiers.

27:

• The computer program product of claim 24, wherein the one or more overlapping identifiers comprise two or more nested geographical identifiers.

28:

• The computer program product of claim 24, wherein the one or more overlapping identifiers comprise two or more overlapping administrative identifiers.

29:

• The computer program product of claim 19,
• wherein performing the statistical analysis of the selected subset of data based at least in part on the selected one or more business intelligence factors comprises identifying one or more arbitrary identifiers in the selected subset of data, and
• wherein generating the output representing the statistical analysis of the selected subset of data based at least in part on the selected one or more business intelligence factors comprises removing the one or more arbitrary identifiers from the selected subset of data.

30:

• The computer program product of claim 19, wherein performing the statistical analysis of the selected subset of data based at least in part on the selected one or more business intelligence factors comprises:
• applying a classification algorithm trained on a set of previously classified data to classify data in the selected subset of data into at least one of two or more classification sets.

31:

• The computer program product of claim 30,
• wherein the classification algorithm comprises a decision tree, and
• wherein performing the statistical analysis of the selected subset of data based at least in part on the selected one or more business intelligence factors further comprises selecting top-level nodes of the decision tree as indicating differentiating factors of the selected subset of data compared to a remaining portion of the set of data not included in the selected subset of data.

32:

• The computer program product of claim 31, wherein performing the statistical analysis of the selected subset of data based at least in part on the selected one or more business intelligence factors further comprises generating one or more rules that summarize the differentiating factors of the selected subset of data compared to the remaining portion of the set of data, as indicated by the top level nodes of the decision tree.

33:

• The computer program product of claim 19,
• wherein selecting the one or more business intelligence factors from the business intelligence model based at least in part on the selected subset of data comprises selecting one or more statistical analysis techniques indicated by the business intelligence model as relevant to the selected subset of data, and
• wherein performing the statistical analysis of the selected subset of data based at least in part on the selected one or more business intelligence factors comprises applying the selected one or more statistical analysis techniques to the selected subset of data.

34:

• The computer program product of claim 33, the program code further executable by the at least one processor to:
• rank the one or more statistical analysis techniques indicated by the business intelligence model as relevant to the selected subset of data in a ranked order based at least in part on the business intelligence model,
• wherein applying the selected one or more statistical analysis techniques to the selected subset of data comprises applying the selected one or more statistical analysis techniques in the ranked order.

35:

• The computer program product of claim 19, wherein performing the statistical analysis of the selected subset of data based at least in part on the selected one or more business intelligence factors comprises selecting an order of statistical analysis techniques to apply to the selected subset of data based at least in part on business concepts comprised in the business intelligence factors.

36:

• The computer program product of claim 35, wherein the selected subset of data comprises data on sales, and wherein selecting the order of statistical analysis techniques to apply to the selected subset of data based at least in part on business concepts comprised in the business intelligence factors comprises selecting a sales contribution analysis technique to apply to the selected subset of data, and selecting a sales distribution analysis technique to apply to the selected subset of data subsequent to applying the sales contribution analysis technique.

37:

• The computer program product of claim 19, the program code further executable by the at least one processor to:
• use the business intelligence model to filter and assemble results of performing the statistical analysis of the selected subset of data based at least in part on the selected one or more business intelligence factors,
• wherein the output representing the statistical analysis of the selected subset of data comprises the filtered and assembled results.

38:

• The computer system of claim 20,
• wherein the structured representation of the set of data comprises a graph that represents the set of data, and
• wherein receiving the input defining the selected subset of data from the structured representation of the set of data comprises receiving a user input via a user interface selecting a portion of the graph.