Abstract: A Total Loss Predictor Score assesses the risk of Total Loss of new credit applications by leveraging the most powerful insights from business databases. The Total Loss Predictor Score built on segmentation and algorithms that use the commercial information from business databases, powered by analytics, delivers a unique solution for credit risk management to help business creditors with origination decisions.

Abstract: There is provided a method that includes (a) examining records that describe transactions between entities, (b) constructing, in a database, a data structure that represents a relationship network, based on the transactions, where the relationship network represents (i) a first entity and (ii) a second entity that is separated from the first entity by N tiers, and where N is a whole number greater than or equal to 1, and (c) calculating a relevance of the second entity to the first entity as a function of, i.e., based on, a characteristic of the second entity. There is also provided a system that performs the method, and a storage medium that contains instructions for controlling a processor to perform the method.

Abstract: There is provided a method that includes employing a computer to perform operations of (a) receiving, from a data source, by way of an electronic communication, a descriptor of a business, (b) matching said descriptor to data in a database, thus yielding a match, wherein said data includes a unique identifier of said business, (c) saving to a log, a signal that includes said unique identifier, (d) counting a quantity of signals that include said unique identifier in said log, thus yielding a number of said signals for said unique identifier, and (e) calculating a credit score for said business, based on said number of signals. There is also provided a system that performs the method, and a storage device that controls a processor to perform the method.

Abstract: A Total Loss Predictor Score assesses the risk of Total Loss of new credit applications by leveraging the most powerful insights from business databases. The Total Loss Predictor Score built on segmentation and algorithms that use the commercial information from business databases, powered by analytics, delivers a unique solution for credit risk management to help business creditors with origination decisions.