Applied artificial intelligence technology for evaluating drivers of data presented in visualizations

An apparatus for applying artificial intelligence technology to evaluate drivers of data presented in visualizations, the apparatus comprising:

• a processor;
• and
• a memory that stores a plurality of data structures and processing logic;
• wherein the processor, in cooperation with the memory, is configured to:
• translate a specification of a driver into narrative analytics based on a plurality of the data structures and the processing logic, wherein the specified driver comprises a driver candidate to be evaluated with respect to a measure shown in a visualization, wherein the narrative analytics are configured to perform a correlation analysis on the driver candidate with respect to the visualization measure;
• select a story configuration that includes a parameterized specification of the narrative analytics;
• instantiate the parameterized specification of the narrative analytics based on the specified driver candidate and a data set relating to the visualization;
• execute the instantiated narrative analytics using the data set relating to the visualization;
• and
• generate a narrative story about the specified driver candidate based on the story configuration and in response to the execution of the instantiated narrative analytics so that the narrative story presents an assessment relating to any correlation between the specified driver candidate and the measure of the visualization.

A computer program product for applying artificial intelligence technology to evaluate drivers of data presented in visualizations, the computer program product comprising:

• a plurality of processor-executable instructions resident on a non-transitory computer-readable storage medium, the instructions configured to:
• translate a specification of a driver into narrative analytics based on a plurality of data structures and processing logic, wherein the specified driver comprises a driver candidate to be evaluated with respect to a measure shown in a visualization, wherein the narrative analytics are configured to perform a correlation analysis on the driver candidate with respect to the visualization measure;
• select a story configuration that includes a parameterized specification of the narrative analytics;
• instantiate the parameterized specification of the narrative analytics based on the specified driver candidate and a data set relating to the visualization;
• execute the instantiated narrative analytics using the data set relating to the visualization;
• and
• generate a narrative story about the specified driver candidate based on the story configuration and in response to the execution of the instantiated narrative analytics so that the narrative story presents an assessment relating to any correlation between the specified driver candidate and the measure of the visualization.