Systems and methods for generating a relationship among a plurality of datasets to generate a desired attribute value

A system for predicting a business relationship duration, comprising:

• a plurality of processors comprising at least one programmable processor operationally associated with memory having executable instructions;
• and at least one data stream processor having one or more field programmable gate arrays and/or one or more application specific integrated circuits having specialized executable instructions for processing streaming data, such that when the plurality of processors execute instructions operations are completed comprising:
• collecting information about a plurality of entities from a plurality of external sources, including at least one source comprising entity GPS data;
• identifying a plurality of entity parameters from the collected entity information;
• creating a first dataset from the collected entity information;
• associating entities with one or more of the entity parameters identified from the collected information;
• collecting customer information about the business' former and/or existing customers;
• creating a second dataset from the collected customer information;
• associating existing and/or former customers with one or more of the plurality of entity parameters from the collected entity information;
• supplementing the second dataset with information from the first dataset where a specific entity in the first data set is associated with a specific existing or former customer in the second dataset;
• creating one or more predictive models on the second dataset that generate predictions representative of relationship duration with the business;
• applying the one or more predictive models created on the second dataset on the first dataset to generate predictions representative of business relationship duration;
• and
• creating a report of entities from the first dataset that are predicted by the one or more models to exhibit the desired business relationship duration.