Abstract: In an illustrative embodiment, systems and methods for generating data metrics and relationship analysis from an organization's electronic communications archives include pre-processing the electronic communications into a consistent, workable format, including filtering the data to remove irrelevant messages. Machine learning models may be applied to support automatic identification of relevant message content for data analytics. The systems and methods may link the electronic communications with transaction records of a transactional platform and analyze the communications traffic in view of transactional patterns and outcomes. Communications between parties may be analyzed to identify timings and patterns, plus correlations between electronic communication patterns and business outcomes.

Abstract: In an illustrative embodiment, systems and methods for bulk user setup include a bulk user registration interface presented to an end user to supply user information and a custom API handler for translating the user information into individual user setup requests recognizable by a content management system (CMS). The systems and methods may additionally include an integration engine for supplying user setup requests to one or more third-party systems integrated with the CMS within a data analytics ecosystem, such as a content development system. The integration engine may be implemented as a custom web part configured to interface with the custom API handler, the CMS, and one or more third-party systems.

Abstract: In an illustrative embodiment, an automated system performs a multi-level risk exposure analysis for geographic locations, such as property locations. The system may include computing systems and devices for calculating, for locations in a portfolio, risk exposure amounts for an area that includes an insured location and including an analysis radius and identifying regions of interest having risk exposure amounts that exceed predetermined amounts due to combined exposure from a portion of the insured locations. The system may generate a grid of intermediate points that is applied to each region of interest. The system may calculate amounts of risk exposure for each of the intermediate points and retain any intermediate points with risk exposure amounts that exceed the amounts for the insured locations. The system may output a risk exposure analysis based on the risk exposure amounts for the insured locations and intermediate points of interest.

Abstract: In an illustrative embodiment, systems and methods for generating data metrics and relationship analysis from an organization's electronic communications archives include pre-processing the electronic communications into a consistent, workable format, including filtering the data to remove irrelevant messages. Machine learning models may be applied to support automatic identification of relevant message content for data analytics. The systems and methods may link the electronic communications with transaction records of a transactional platform and analyze the communications traffic in view of transactional patterns and outcomes. Communications between parties may be analyzed to identify timings and patterns, plus correlations between electronic communication patterns and business outcomes.