Generating business intelligence analytics data visualizations with genomically defined genetic selection

A method in a business intelligence system having a multi-tier architecture, each tier comprising one or more respective servers, the method comprising:

• receiving, with one or more processing devices via an application tier of the multi-tier architecture comprising a data access service, a set of input data comprising one or more bodies of data from a database tier of the multi-tier architecture comprising database servers;
• generating, with the one or more processing devices via the application tier of the multi-tier architecture further comprising enterprise applications, one or more digital chromosomes each comprising a collection of digital genes that genomically define data visualization elements based on the input data, wherein each digital gene of a respective digital chromosome defines an incremental change to at least one of the data visualization elements, and wherein each digital gene of the respective digital chromosome comprises a data field indicative of a first body of data from the one or more bodies of data of the input data to be added as an axis of a data visualization, the data field being associated with its defined incremental change;
• based on the data field, mapping, with the one or more processing devices via the application tier of the multi-tier architecture comprising the enterprise applications, data from the first body of data included in the input data that is defined by the data field to one or more graphics properties in at least one of the data visualization elements genomically defined by the collection of digital genes;
• executing, with the one or more processing devices via the application tier of the multi-tier architecture comprising the enterprise applications, a genetic selection process with respect to the one or more fitness functions on populations of candidate data visualizations that are based on the genomically defined data visualization elements;
• generating, with the one or more processing devices via the application tier of the multi-tier architecture comprising the enterprise applications, and based on execution of the genetic selection process with respect to the one or more fitness functions, a final data visualization from the populations of candidate data visualizations;
• and
• outputting, with the one or more processing devices via a web tier of the multi-tier architecture comprising web server, the final data visualization generated by the genetic selection process.