Abstract: Embodiments of the present invention are directed to managing process analytics across process components. In some embodiments, an indication of a state of a process instance associated with a process is determined by querying a process engine. In accordance with the indication of the state of the process instance, an augmented process model is used to search machine data for data corresponding with at least one component of the process. The data corresponding with the at least one component of the process is associated with a process instance identifier that uniquely identifies the process instance. Thereafter, the data along with the process instance identifier is provided to the process engine to update the state of the process instance.

Abstract: Embodiments of the present invention are directed to managing process analytics across process components. In some embodiments, an indication of a state of a process instance associated with a process is determined by querying a process engine. In accordance with the indication of the state of the process instance, an augmented process model is used to search machine data for data corresponding with at least one component of the process. The data corresponding with the at least one component of the process is associated with a process instance identifier that uniquely identifies the process instance. Thereafter, the data along with the process instance identifier is provided to the process engine to update the state of the process instance.

Abstract: Embodiments of the present invention are directed to generating augmented process models for use in process analytics. In one embodiment, a process model, search indicators, composite attributes, and relationship indicators are received. The process model defines a process and includes a plurality of components of the process. Search indicators indicate a search that, when executed, provides data related to the corresponding component. Composite attributes indicate data to be captured by machine data searches associated with the corresponding component. Relationship indicators indicate relationships between components of the process. An augmented process model is generated based on the process model, the search indicators, the composite attributes, and the relationship indicators, wherein the augmented process model is used to manage process instances associated with the process.

Abstract: Embodiments of the present invention are directed to managing process analytics across process components. In some embodiments, an indication of a state of a process instance associated with a process is determined by querying a process engine. In accordance with the indication of the state of the process instance, an augmented process model is used to search machine data for data corresponding with at least one component of the process. The data corresponding with the at least one component of the process is associated with a process instance identifier that uniquely identifies the process instance. Thereafter, the data along with the process instance identifier is provided to the process engine to update the state of the process instance.

Abstract: Embodiments of the present invention are directed to generating augmented process models for use in process analytics. In one embodiment, a process model, search indicators, composite attributes, and relationship indicators are received. The process model defines a process and includes a plurality of components of the process. Search indicators indicate a search that, when executed, provides data related to the corresponding component. Composite attributes indicate data to be captured by machine data searches associated with the corresponding component. Relationship indicators indicate relationships between components of the process. An augmented process model is generated based on the process model, the search indicators, the composite attributes, and the relationship indicators, wherein the augmented process model is used to manage process instances associated with the process.