Abstract: Techniques are disclosed for using machine-learning processing for generating resource-allocation specifications. A first data set may be received from a first data source. The first data set can include a first resource request and a first timestamp associated with entities. A second data set can be received from a second data source that includes communication data and allocation data associated with the entities. Target characteristics may be defined for training instances. The training instances can be used to train a machine-learning model using the first data set and the second data set. A third data set may be accessed and used to generate a user session within which, the trained machine-learning model may execute to generate a resource-allocation specification. The resource-allocation specification including a communication schedule. One or more communications compliant with the communication schedule may be output to an entity.

Abstract: Techniques are disclosed for using machine-learning processing for generating resource-allocation specifications. A first data set may be received from a first data source. The first data set can include a first resource request and a first timestamp associated with entities. A second data set can be received from a second data source that includes communication data and allocation data associated with the entities. Target characteristics may be defined for training instances. The training instances can be used to train a machine-learning model using the first data set and the second data set. A third data set may be accessed and used to generate a user session within which, the trained machine-learning model may execute to generate a resource-allocation specification. The resource-allocation specification including a communication schedule. One or more communications compliant with the communication schedule may be output to an entity.

Abstract: A method of modeling a scenario for use with live data in a production database may include selecting the scenario. The live data can be stored in the production database on a first computing resource, and production scenarios can be stored and executed on the live data using the first computing resource. The method may also include identifying a subset of the live data that are affected by the scenario, copying the subset to a second computing resource to create modeling data, running the scenario on the modeling data using the second computing resource, causing a display device to provide an output comprising a result of the scenario on the modeling data, receiving an input indicating that the scenario is approved, and storing the scenario with the plurality of production scenarios for use on the first computing resource.

Abstract: Mechanisms and approaches for a collaborative financial close portal are provided. A client receives display data, which when rendered by the client, depicts a collaborative financial close portal that supports one or more workspaces. Each of the one or more workspaces may be used by a different set of users to perform activities related to a financial close process. The one or more workspaces are arranged in a hierarchical relationship. In response to receiving identification data that identifies a user of the client, additional display data is sent to the client, which when rendered, depicts a particular workspace for which the user is granted access. The depiction of the particular workspace includes depicting status information about financial close activities associated with one or more workspaces lower in the hierarchal relationship than the particular workspace.

Abstract: This disclosure describes, generally, methods and systems for implementing event driven audit logging. The method includes establishing, at an audit logging system, audit logging framework configured to provide application independent connectivity and further configured to provide event driven audit logging. The method further includes receiving, at the audit logging system, a selection of an application to provide event driven auditing, enabling event driven auditing for the selected application, and receiving a selection of event types to enable for auditing by the audit logging framework. Furthermore, the method includes based on the selected event types, tracking the application actions associated with the selected events, creating an event log for the application, and providing access to the event log.

Abstract: This disclosure describes, generally, methods and systems for implementing event driven audit logging. The method includes establishing, at an audit logging system, audit logging framework configured to provide application independent connectivity and further configured to provide event driven audit logging. The method further includes receiving, at the audit logging system, a selection of an application to provide event driven auditing, enabling event driven auditing for the selected application, and receiving a selection of event types to enable for auditing by the audit logging framework. Furthermore, the method includes based on the selected event types, tracking the application actions associated with the selected events, creating an event log for the application, and providing access to the event log.

Abstract: Mechanisms and approaches for a collaborative financial close portal are provided. A client receives display data, which when rendered by the client, depicts a collaborative financial close portal that supports one or more workspaces. Each of the one or more workspaces may be used by a different set of users to perform activities related to a financial close process. The one or more workspaces are arranged in a hierarchical relationship. In response to receiving identification data that identifies a user of the client, additional display data is sent to the client, which when rendered, depicts a particular workspace for which the user is granted access. The depiction of the particular workspace includes depicting status information about financial close activities associated with one or more workspaces lower in the hierarchal relationship than the particular workspace.