Systems and methods for autonomous data analysis

A system for autonomously organizing and analyzing data associated with an organization, comprising:

• a data source;
• a processor operating on specially configured computational machinery, wherein the processor is programmed to:
• retrieve structured data from the data source;
• and
• transform the data to comport with a predetermined dataset format;
• a dimensional hierarchy database comprising one or more rules;
• a primary graph generation module, comprising:
• a mapping function, wherein the mapping function assigns the transformed data to nodes;
• a linking function, wherein the linking function extracts information from the dimensional hierarchy database for determining the hierarchy of the nodes and relationships between the nodes;
• a graphing function, wherein the graphing function associates the nodes into an initial primary graph based on the mapping and linking functions;
• a structure learning function, wherein the primary graph generation module is configured to regenerate the initial primary graph based upon at least one of:
• a change in the dimensional hierarchy database;
• a change occurring in the transformed data;
• an error determination made by the primary graph generation module;
• or, an instruction to validate the initial primary graph;
• an inflation function, wherein the initial primary graph is inflated by incorporating additional datasets to create a complete graph, and wherein the complete graph is based upon the mapping and linking functions completed for the initial primary graph.