Computer-implemented systems and methods for intelligently retrieving, analyzing, and synthesizing data from databases

A method implemented by a computer system including one or more hardware data processors and one or more memories, comprising:

• automatically extracting from one or more initial databases, by the computer system, electronic contact data records corresponding to multiple human contacts, each electronic contact data record with one or more data fields that include:
• a computer-readable contact identifier for one of the human contacts;
• a corresponding computer-readable group identifier for each group with which the human contact has had one or more person-to-person communications;
• and
• computer-readable person-to-person communication information that indicates a number of person-to-person communications and a timing of at least a most recent person-to-person communication between the human contact and each group with which the human contact has had one or more person-to-person communications;
• storing, by the computer system, electronic contact profile data records based on the electronic contact data records in one or more interaction analytics databases in electronically addressable and searchable form and electronic group profile data records for multiple groups, each electronic group profile data record including metric values corresponding to person-to-person communications between the group and human contacts;
• automatically processing, by the computer system, the electronic group profile data records with the electronic contact profile data records to calculate corresponding group-human contact compatibility factors;
• automatically determining, by the computer system, similarities between metric values corresponding to at least some of the electronic contact profile data records;
• automatically calculating, by the computer system, a weighted average based on similarities between metric values corresponding to electronic contact profile data records to generate an overall similarity parameter for electronic contact profile data records, where the weighted average includes a time gap weighting factor based on how far apart in time human contacts corresponding to the electronic contact profile data records communicated with a same group or with different groups having a same metric value;
• automatically generating, by the computer system, a compatibility parameter for each human contact for at least one of the groups based on the corresponding group-human contact compatibility factors and overall similarity parameters;
• and
• electronically communicating, by the computer system, to one or more computer devices compatibility parameters generated for the at least one of the groups.

A non-transitory, computer-readable medium including program instructions that, when executed by a computer, cause the computer to:

• automatically extract from one or more initial databases electronic contact data records corresponding to multiple human contacts, each electronic contact data record with one or more data fields that include:
• a computer-readable contact identifier for one of the human contacts;
• a corresponding computer-readable group identifier for each group with which the human contact has had one or more person-to-person communications;
• and
• computer-readable person-to-person communication information that indicates a number of person-to-person communications and a timing of at least a most recent person-to-person communication between the human contact and each group with which the human contact has had one or more person-to-person communications;
• store electronic contact profile data records based on the electronic contact data records in one or more interaction analytics databases in electronically addressable and searchable form and electronic group profile data records for multiple groups, each electronic group profile data record including metric values corresponding to person-to-person communications between the group and human contacts;
• automatically process the electronic group profile data records with the electronic contact profile data records to calculate corresponding group-human contact compatibility factors;
• automatically determine similarities between metric values corresponding to at least some of the electronic contact profile data records;
• automatically calculate a weighted average based on similarities between metric values corresponding to electronic contact profile data records to generate an overall similarity parameter for electronic contact profile data records, where the weighted average includes a time gap weighting factor based on how far apart in time human contacts corresponding to the electronic contact profile data records communicated with a same group or with different groups having a same metric value;
• automatically generate a compatibility parameter for each human contact for at least one of the groups based on the corresponding group-human contact compatibility factors and overall similarity parameters;
• and
• electronically communicate to one or more computer devices compatibility parameters generated for the at least one of the groups.