Common data repository for improving transactional efficiencies across one or more communication channels

A computer-implemented method, the method comprising:

• retrieving a plurality of documents from a plurality of sources;
• analyzing the plurality of documents to identify a topical issue based on a content item in the plurality of documents and identify a plurality of parameters, the plurality of parameters associated with a plurality of profile features and a plurality of performance metrics, wherein:
• at least one parameter of the plurality of parameters is identified based on the content item in the plurality documents;
• each of the plurality of parameters and the plurality of performance metrics is associated with at least one customer segment;
• and
• each of the plurality of profile features is based on a factor controllable by a company associated with a corresponding profile;
• based on the plurality of parameters, determining one or more correlations between the plurality of parameters;
• determining one or more correlation values between the plurality of profile features and one or more performance metrics of the plurality of performance metrics;
• based on the one or more correlation values, identifying one or more profile features of the plurality of profile features that improve a parameter associated with at least one performance metric of the plurality of performance metrics, including comparing at least one of the plurality of correlation values to a predetermined threshold to determine if the at least one profile feature of the plurality of profile features is statistically relevant in improving the one or more parameters associated with the one or more performance metrics;
• generating a predictive model associated with the plurality of parameters;
• determining a relationship strength between each of the plurality of profile features and the one or more performance metrics;
• and
• determining one or more actionable items associated with one or more modifications to a parameter associated with the one or more profile features that, using the comparison of the at least one of the plurality of correlation values to the predetermined threshold, the relationship strength between each of the plurality of profile features and the one or more performance metrics and the predictive model, is predicted to improve the parameter associated with the at least one performance metric upon execution of the one or more actionable items.

A system comprising:

• a processor;
• a non-transitory computer readable medium storing instructions that when executed cause the processor to:
• analyze a plurality of documents to identify a topical issue based on a content item in the plurality of documents and identify a plurality of parameters associated with a plurality of profile features and a plurality of performance metrics, wherein:
• at least one parameter of the plurality of parameters is identified based on the content item in the plurality documents;
• each of the plurality of parameters and the plurality of performance metrics is associated with at least one customer segment;
• and
• each of the plurality of profile features is based on a factor controllable by a company associated with a corresponding profile;
• determine a plurality of correlation values between the plurality of profile features and one or more performance metrics of the plurality of performance metrics based on the plurality of parameters;
• identify at least one profile feature of the plurality of profile features that improve one or more parameters associated with the one or more performance metrics based on the plurality of correlation values, wherein to identify the at least one profile feature the instructions when executed further cause the processor to compare at least one of the plurality of correlation values to a predetermined threshold to determine if the at least one profile feature of the plurality of profile features is statistically relevant in improving the one or more parameters associated with the one or more performance metrics;
• generate a predictive model associated with the plurality of profile features and the one or more performance metrics;
• determine a relationship strength between each of the plurality of profile features and the one or more performance metrics;
• and
• determine one or more actionable items that modify a parameter associated with the at least one profile feature such that, based on the comparison of the at least one of the plurality of correlation values to the predetermined threshold, the relationship strength between each of the plurality of profile features and the one or more performance metrics and the predictive model, the one or more parameters associated with the one or more performance metrics are predicted to improve upon execution of the one or more actionable items.