Apparatus for identifying root cause using unstructured data
AssigneeClarabridge, Inc.
InventorsThomas Mathew, Kenneth Robert Voorhees
Life of this patent
Estimating the term…
Abstract
A system and method of identifying root cause of an observation by leveraging features from unstructured data is disclosed. A report generation component may be configured to generate a report. A report presentation component may be configured to allow an operator to select an observation from the report. A root cause component may be configured to determine one or more causal factors associated with the observation.
Claims60
A system comprising:
- a report generation component configured to generate a report;
- a report presentation component configured to allow an operator to select an observation from the report;
- a root cause component configured to determine one or more causal factors associated with the observation;
- a memory configured to store the report generation component, the report presentation component, and the root cause component;
- and
- at least one processor to implement the report generation component, the report presentation component, and the root cause component.
A method of determining one or more causal factors for an observation comprising:
- receiving an instruction to execute a report from a user;
- receiving an instruction to determine the one or more causal factors associated with an observation selected by the user;
- determining, by a processor, the one or more causal factors associated with the selected observation;
- ranking, by the processor, the one or more causal factors based on a measure of statistical association to the selected observation;
- and
- presenting results to the user.
A computer readable storage medium comprising instructions that if executed enables a computing system to:
- receive an instruction to execute a report from a user;
- receive an instruction to determine the one or more causal factors associated with an observation selected by the user;
- determine the one or more causal factors associated with the selected observation;
- rank the one or more causal factors based on a measure of statistical association to the selected observation;
- and
- present results to the user.
Dependencies are inferred from the claim text.