Systems and Methods for Identifying and Driving Actionable Insights from Data

A non-transitory computer-readable storage medium including computer program instructions which, when executed by a processor, cause the processor to execute a method comprising:

• identify, using the processor, a pattern in a data set using an analytic algorithm, the data set associated with a domain;
• process, using the processor, the identified pattern to assign a score to the identified pattern based on a comparison to statistical model meta data;
• construct, using the processor, a semantic model modeling people, processes, and systems associated with the domain;
• combine, using the processor, the identified pattern with the semantic model;
• determine, using the semantic model and the processor, an output including:
• a) a root cause for the identified pattern and b) a recommended action to remediate the root cause;
• and
• facilitate, using the processor, execution of the recommended action based on a trigger associated with the output.

A computer-implemented method comprising:

• identifying, using a processor, a pattern in a data set using an analytic algorithm, the data set associated with a domain;
• processing, using the processor, the identified pattern to assign a score to the identified pattern based on a comparison to statistical model meta data;
• constructing, using the processor, a semantic model modeling people, processes, and systems associated with the domain;
• combining, using the processor, the identified pattern with the semantic model;
• determining, using the semantic model and the processor, an output including:
• a) a root cause for the identified pattern and b) a recommended action to remediate the root cause;
• and
• facilitating, using the processor, execution of the recommended action based on a trigger associated with the output.