Multivariate Insight Discovery Approach

A system comprising:

• a preprocessing module including a processor and configured to access a dataset including measures and dimensions and process the dataset to generate a preprocessed dataset such that at least one type of statistical analysis of the preprocessed dataset yields equal results to the same type of statistical analysis of the dataset;
• a statistical analysis module including a processor and configured to:
• analyze the preprocessed dataset to identify subsets of the preprocessed dataset that include a non-random structure, the analyzing including the at least one type of statistical analysis;
• and
• generate a score for each of the identified subsets based on the non-random structures included in each of the identified subsets;
• a statisitical ranking module including a processor and configured to:
• rank each of the identified subsets based on the score generated for each of the identified subsets;
• and
• select an identified subset based on the ranking of the identified subset;
• and
• a visualization module including a processor and configured to generate a visualization of the selected identified subset that highlights a non-random structure of the selected identified subset.

A non-transitory machine-readable storage medium including instructions that, when executed on at least one processor of a machine, cause the machine to perform operations comprising:

• accessing a dataset including measures and dimensions by a preprocessing module;
• processing the dataset, by the preprocessing module, to generate a preprocessed dataset such that at least one type of statistical analysis of the preprocessed dataset yields equal results to the same type of statistical analysis of the dataset;
• analyzing the preprocessed dataset, by a statistical analysis module, to identify subsets of the preprocessed dataset that include a non-random structure, the analyzing including the at least one type of statistical analysis;
• generating a score for each of the identified subsets, by the statistical analysis module, based on the non-random structures included in each of the identified subsets;
• ranking each of the identified subsets, by a statistical ranking, based on the score generated for each of the identified subsets and selecting an identified subset based on the ranking of the identified subset;
• and
• generating, by a visualization module, a visualization that highlights a non-random structure of the selected identified subset.