Abstract: There is provided a method that includes (a) receiving data indicative of an environmental (E), social (S) and governance (G) objective, and measurements of ESG components, (b) creating a set of N-grams for each ESG component, (c) searching a database, based on the set of N-grams, to obtain ESG data, and (d) generating an ESG score based on the ESG data. There is also provided a system that performs the method.

Abstract: An identification and assessment system that flags business entities that are current or future Third Party Intermediaries and provides compliance risk ratings In at least one embodiment, the system is configured for TPI identification to enable companies to optimize compliance efforts, for example, effective anti-bribery and anti-corruption compliance. The system is configured to identify TPI likelihood and General Compliance Risk Rating to enable businesses to setup anti-bribery and anti-corruption (ABAC) strategies to focus on those high-risk TPIs, perform due diligence, and mitigate compliance risk.

Abstract: There is provided a method for assessing an activity level of an entity. The method includes (i) receiving source data from a source about a plurality of entities, (ii) analyzing the source data to produce (a) a source data assessment that indicates whether to include the source data in a scored data set, and (b) a calculated accuracy that is a weighted accuracy assessment of the source data, (iii) receiving entity data about an entity of interest, (iv) generating, from the entity data and the calculated accuracy, an entity description that represents attributes of the entity of interest, (v) analyzing the source data assessment and the entity description to produce an activity score that is an estimate of an activity level of the entity of interest, and (vi) issuing a recommendation concerning treatment of the entity of interest based on the activity score.

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: An identification and assessment system that flags business entities that are current or future Third Party Intermediaries and provides compliance risk ratings In at least one embodiment, the system is configured for TPI identification to enable companies to optimize compliance efforts, for example, effective anti-bribery and anti-corruption compliance. The system is configured to identify TPI likelihood and General Compliance Risk Rating to enable businesses to setup anti-bribery and anti-corruption (ABAC) strategies to focus on those high-risk TPIs, perform due diligence, and mitigate compliance risk.

Abstract: A networking system for real-time generation of a global business ranking based upon country specific data retrieved from at least a plurality of countries, the system comprising: a plurality of country data collection systems, wherein the country specific data is collected from a plurality of country sources; a transformation engine which receives and categorizes the collected data into at least one selected from the group consisting of: country trade data, country financial data and country derogatory information; a data/attribute repository which merges the country trade data, country financial data and/or country derogatory information with data from a global database, macro score data and/or signal score data to form merged data, and sorts the merged data into at least one selected from the group consisting of: global trade data, global financials data and global derogatory information; and a global business ranking processor which retrieves any of the global trade data, global financials data and/or glo

Abstract: A system and a method for generating indicators of the financial health of a business provides data in a number of cases, including a situation where financial statement are publically available, and those where they are not publically available. Data records are analyzed in accordance with a first set of steps if publically available financial statements of the business are available; and in accordance with a second set of steps if publically available financial statements of the business are not available. When financial statements are not publically available, certain proxies provide data concerning a business. A computer readable non-transitory storage medium stores instructions of a computer program, which when executed by a computer system, results in performance of steps of the method. A method for developing a scorecard for data indicative of the financial health of a business is also disclosed.

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: A method and system for determining an entity's future commercial viability which comprises: (a) using a first predictive modeling, determining a future commercial viability of the entity, the first predictive modeling is derived by identifying patterns in data and relating to predictive attributes, thereby generating a viability score; (b) using predictive modeling to generate a relative ranking of the entity against its peer group, thereby generating a comparative viability score (i.e.

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 system and method for deriving a material change attribute over time to predict a future change in at least one predictor, the method comprising: collecting precursor data from at least one data source; processing the precursor data by assessing at least one characteristic of the precursor data; generating at least one material change signal from the processed precursor data; evaluating the material change signal to determine the signal's value in predicting future changes in the predictor and, optionally, reverting to the collection and processing steps above to process additional precursor data; and generating at least one the material change attribute from the evaluated material change signal.

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.