Abstract: Described is determining a dataset of historical financial record data related to an entity set comprising one or more entities having a common attribute, the historical financial record data comprising an actual payment date or an indication of voiding for each of a plurality of invoices associated with one or more entities of the entity set. Also described is determining a first model of payment behavior of the entity set configured to predict a date of payment of an invoice by an entity.

Abstract: An analytics processing system for generating a decision-making algorithm based on a prescribed set of pre-defined data points describing one or more characteristics of an entity to achieve an objective. The objective is modelled by an underlying base algorithm. The system includes a user interface to receive initial data concerning the objective from a client. It also includes a decision engine comprising a pipeline of modules including a validation module, a retrospect module, a refinement module and a comparison module.

Abstract: Methods, systems, and computer programs are presented for generating action scores based on the performance of entities to determine action probabilities. One method includes an operation for accessing data comprising transactions exchanged between entities. The method further includes generating performance values for each entity based on the data, and generating, for each entity, an action score that is an indication of past performance of the entity with respect to the performance values. The method further includes receiving a request, from a user, for action probabilities regarding an event associated with a first entity, each action probability being a probability that another entity responds to the event within a predetermined time frame, determining related entities associated with the event, and determining the action probability for each entity based on the action score of the related entity. The action probabilities are presented within a graphical user interface.