Systems and methods for data mining of historic electronic communication exchanges to identify relationships, patterns, and correlations to deal outcomes

A system comprising one or more processors, wherein the system includes a plurality of subsystems, each subsystem configured to execute on a portion of the one or more processors, the plurality of subsystems using historic electronic communications in enhancing metrics related to client relationships, wherein the plurality of subsystems include:

• a data extraction subsystem that
• accesses a time period of historic electronic communications data for an organization, the historic electronic communications data comprising a plurality of messages, and
• organizes the plurality of messages in a standardized format;
• a message content filtering engine that filters the plurality of messages to remove a subset of irrelevant messages, wherein the filtering produces a subset of relevant messages;
• a message fingerprinting subsystem that
• produces unique identifiers for each sender-recipient(s) group within the subset of relevant messages,
• aggregates occurrences of contact per time period of a plurality of time periods,
• identifies a plurality of sender-recipient(s) groups demonstrating weak relationship behavior based upon the aggregated occurrences of contact,
• removes messages having one of the plurality of sender-recipient(s) groups demonstrating weak relationship behavior, and
• stores the aggregated occurrences in a communications data structure;
• and
• a relationship analysis subsystem that
• analyzes aggregated occurrences within each sender-recipient(s) group over the plurality of time periods,
• determines communications patterns over the plurality of time periods,
• accesses transactional data over the plurality of time periods, and
• correlates business outcomes derived from the transactional data with the communications patterns.

A non-transitory computer readable medium having instructions stored thereon, wherein the instructions, when executed by processing circuitry, cause the processing circuitry to:

• access a time period of historic electronic communications data for an organization, the historic electronic communications data comprising a plurality of messages, each message comprising a sender, one or more recipients, and body text;
• filter the plurality of messages to remove a subset of irrelevant messages, wherein the filtering produces a subset of relevant messages;
• fingerprint each message of the subset of relevant messages to track communications between each sender-recipient(s) group of a plurality of sender-recipient(s) groups over time, wherein fingerprinting comprises
• producing unique identifiers for each sender-recipient(s) group,
• aggregating occurrences of contact per time period of a plurality of time periods,
• identifying a plurality of sender-recipient(s) groups demonstrating weak relationship behavior based upon the aggregated occurrences of contact,
• removing, from the subset of relevant messages, one or more messages having one of the plurality of sender-recipient(s) groups demonstrating weak relationship behavior, and
• storing the aggregated occurrences in a communications data structure;
• after filtering, analyze body text of a plurality of messages in the subset of relevant messages to identify a subset of business-related messages containing business-related content;
• query a data store of a transactional platform for user data regarding a plurality of users;
• for each message of the plurality of messages in the subset of relevant messages,
• cross-reference the sender and each of the one or more recipients with the plurality of users of the transactional platform, and
• upon identifying a match, link platform role information with the respective electronic message identifying a role of the matching sender or recipient within the transactional platform;
• and
• generate communication network map data representing a mapping of communications relationships between users of the transactional platform, wherein generating the communication network map data comprises organizing the plurality of messages in the subset of relevant messages as interconnected nodes.