Abstract:
A system, a method, and a computer program product for detection and extraction of data are disclosed. A query containing a filtering parameter for extracting changed data from a plurality of resources is executed. Using the filtering parameter, first data in the plurality of resources is identified. Based on the identified first data, second data stored in the plurality of resources and associated with the identified first data is identified. The identified first data is contained in a first resource in the plurality of resources and the second data is contained in a second resource in the plurality of resources. Based on the filtering parameter, a determination is made whether at least one of the identified first data and the identified second data contain at least one change. At least one of the identified first data and the identified second data from the plurality of resources is retrieved.
Abstract:
Embodiments of the present invention may provide a method for executing a business process. The method may include receiving a selection of a plurality of sub-process models, corresponding to sub-processes of the business process and selected from a library of standard sub-process models. The method may include receiving user specifications for one or more of the sub-process models, and modifying the sub-process models based on the user specifications. Subsequently, the method may include linking the sub-process models to create one or more process variants and one or more process flows of the business process, and generating, by one or more processors, software artifacts from the process variants. The method may further include executing the process variants, by the one or more processors, by combining dynamically one or more of the software artifacts, triggering one or more of the sub-process models to receive data resulting from the corresponding sub-processes being executed.
Abstract:
A rules engine is provided that can work with various heterogeneous calling applications. Such a rules engine can be part of a larger framework which, for example, can provide calibration alerts and the like when certain rule conditions are met. In some implementations, the framework can allow for the identification and mitigation of bias against certain employees and/or classes of employees within a larger organization.
Abstract:
A method may include generating a first user interface for providing, to a client, a first selection of inputs for attributes of a rule scenario for defining a rule. The rule may be applied to modify a data processing functionality of the application. Parameters of the rule may be determined based on the rule scenario and a first input from the first selection of inputs being selected via the first user interface. The parameters of the rule may correspond to data objects affected by the application of the rule. A second user interface for providing, to the client, a second selection of inputs for defining a condition of the rule may be generated. The condition of the rule may evaluate the parameters of the rule. The rule may be generated based on a second input from the second selection of inputs being selected via the second user interface.
Abstract:
A method may include generating a first user interface for providing, to a client, a first selection of inputs for attributes of a rule scenario for defining a rule. The rule may be applied to modify a data processing functionality of the application. Parameters of the rule may be determined based on the rule scenario and a first input from the first selection of inputs being selected via the first user interface. The parameters of the rule may correspond to data objects affected by the application of the rule. A second user interface for providing, to the client, a second selection of inputs for defining a condition of the rule may be generated. The condition of the rule may evaluate the parameters of the rule. The rule may be generated based on a second input from the second selection of inputs being selected via the second user interface.