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: Embodiments are directed to a trusted platform powered by a client-side company application that implements a Business Organizing Principle (“BOP”) for a company and distributed immutable ledger, which provides the company with secure transactions and transaction data. The application's Business Organizing Principle identifies the business components for a company (e.g., HR, marketing, suppliers, etc.) which the application identifies as core, medium-core, and non-core. The application can then suggest and link the business to other businesses on the network based on matching BOP components. The platform's scoring engine uses the ledger's trusted transactions to generate a BOP network score and “local score” to augment traditional thereby creating a quickly developed trusted ecosystem for horizontal B2B integration between not just businesses, but business components.

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) receiving a unique identifier of a first entity, (b) constructing a family tree of entities that includes the first entity, (c) calculating a decision-making power score for each entity in the family tree in accordance with a rule, thus yielding decision-making power scores, (d) identifying a decision-making entity in the family tree, based on the decision-making power scores, thus yielding an identification of the decision-making entity, and (e) controlling a messaging system to direct a correspondence to a recipient, based on the identification of the decision-making entity. There is also provided a system that performs the method, and a storage device for storing instructions for a processor to perform 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: Embodiments are directed to a trusted platform powered by a client-side company application that implements a Business Organizing Principle (“BOP”) for a company and distributed immutable ledger, which provides the company with secure transactions and transaction data. The application's Business Organizing Principle identifies the business components for a company (e.g., HR, marketing, suppliers, etc.) which the application identifies as core, medium-core, and non-core. The application can then suggest and link the business to other businesses on the network based on matching BOP components. The platform's scoring engine uses the ledger's trusted transactions to generate a BOP network score and “local score” to augment traditional thereby creating a quickly developed trusted ecosystem for horizontal B2B integration between not just businesses, but business components.

Abstract: There is provided a method that includes (a) receiving a unique identifier of a first entity, (b) constructing a family tree of entities that includes the first entity, (c) calculating a decision-making power score for each entity in the family tree in accordance with a rule, thus yielding decision-making power scores, (d) identifying a decision-making entity in the family tree, based on the decision-making power scores, thus yielding an identification of the decision-making entity, and (e) controlling a messaging system to direct a correspondence to a recipient, based on the identification of the decision-making entity. There is also provided a system that performs the method, and a storage device for storing instructions for a processor to perform the method.

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: 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.

Abstract: An economy whose activity is to be predicted comprises a plurality of decision makers. Decision makers include, for example, households, government, industry, and banks. The decision makers are represented by agents, where an agent can represent one or more decision makers. Each agent has decision rules that determine the agent's actions. Each agent can affect the economy by affecting variable conditions characteristic of the economy or the internal state of other agents. Agents can communicate actions through messages. On a multiprocessor computer, the agents can be assigned to processing elements.