Abstract: Systems and methods are disclosed for processing events having raw machine data associated with a timestamp using one or more pivot identifiers and one or more step identifiers to generate one or more journey instances. Based on the one or more pivot identifier field, the system can relate events that have a common field value for the pivot identifier field. Based on the one or more step identifiers, the system can group the related events into a subset of events. Using the subset of events, the system can build a journey instance.

Abstract: Systems and methods are disclosed for cross-system journey modeling based on relation of machine data. An example method includes obtaining information describing a user journey that includes multiple steps, each step corresponding to a query to be applied to one or more field-searchable data stores storing events, each event including a portion of machine data that reflects activity in an information technology environment and that is produced by a component of that information technology environment, and each event being associated with a timestamp extracted from the portion of machine data of that event. Events returned as a result of the query of each step are related. The results of the relating are displayed.

Abstract: Systems and methods are disclosed for processing events having raw machine data associated with a timestamp using one or more pivot identifiers and one or more step identifiers to generate one or more journey instances. Based on the one or more pivot identifier field, the system can relate events that have a common field value for the pivot identifier field. Based on the one or more step identifiers, the system can group the related events into a subset of events. Using the subset of events, the system can build a journey instance.

Abstract: A system and method for a hybrid-interface comprises a computer comprising a processor and memory and configured to assign identify a business role relationship defined in a business role relationship model defining one or more relationships between two or more business roles, assign a first business role to a virtual assistant and a second business role to a worker associated with a user input to the virtual assistant, wherein an authorization level of a response by the virtual assistant is based, at least in part, on a relationship defined in the business role relationship model for the first business role and the second business role.

Abstract: Systems and methods are disclosed for cross-system journey modeling based on relation of machine data. An example method includes obtaining information describing a user journey that includes multiple steps, each step corresponding to a query to be applied to one or more field-searchable data stores storing events, each event including a portion of machine data that reflects activity in an information technology environment and that is produced by a component of that information technology environment, and each event being associated with a timestamp extracted from the portion of machine data of that event. Events returned as a result of the query of each step are related. The results of the relating are displayed.

Abstract: Systems and methods are disclosed for cross-system journey modeling based on relation of machine data. An example method includes obtaining information describing a user journey that includes multiple steps, each step corresponding to a query to be applied to one or more field-searchable data stores storing events, each event including a portion of machine data that reflects activity in an information technology environment and that is produced by a component of that information technology environment, and each event being associated with a timestamp extracted from the portion of machine data of that event. Events returned as a result of the query of each step are related. The results of the relating are displayed.

Abstract: Systems and methods are disclosed for processing events having raw machine data associated with a timestamp using one or more pivot identifiers and one or more step identifiers to generate one or more journey instances. Based on the one or more pivot identifier field, the system can relate events that have a common field value for the pivot identifier field. Based on the one or more step identifiers, the system can group the related events into a subset of events. Using the subset of events, the system can build a journey instance.

Abstract: Systems and methods are disclosed for processing events having raw machine data associated with a timestamp using one or more pivot identifiers and one or more step identifiers to generate one or more journey instances. Based on the one or more pivot identifier field, the system can relate events that have a common field value for the pivot identifier field. Based on the one or more step identifiers, the system can group the related events into a subset of events. Using the subset of events the system can build a journey instance.

Abstract: Systems and methods are disclosed for processing events having raw machine data associated with a timestamp using one or more pivot identifiers and one or more step identifiers to generate one or more journey instances. Based on the one or more pivot identifier field, the system can relate events that have a common field value for the pivot identifier field. Based on the one or more step identifiers, the system can group the related events into a subset of events. Using the subset of events, the system can build a journey instance.

Abstract: Systems and methods are disclosed for generating a user interface to enable identification of one or more pivot identifiers and one or more step identifiers. The system executes a query on events having raw machine data associated with a timestamp and obtains fields associated with the events. The system further populates a graphical user interface with field identifiers associated with the obtained fields and enables identification of one or more fields as one or more pivot identifiers and one or more step identifiers.

Abstract: Systems and methods are disclosed for cross-system journey modeling based on relation of machine data. An example method includes obtaining information describing a user journey that includes multiple steps, each step corresponding to a query to be applied to one or more field-searchable data stores storing events, each event including a portion of machine data that reflects activity in an information technology environment and that is produced by a component of that information technology environment, and each event being associated with a timestamp extracted from the portion of machine data of that event. Events returned as a result of the query of each step are related. The results of the relating are displayed.

Abstract: Systems and methods are disclosed for generating one or more journey instances from events having raw machine data associated with a timestamp. The system generates a user interface that includes field identifiers associated with the plurality events for selection as one or more pivot identifiers and one or more step identifiers. Based on the one or more pivot identifiers, the system identifies related events that share a common field value, and based on the one or more step identifiers, the system groups the related events into a subset of events. Using the subset of events the system builds a journey instance.

Abstract: Systems and methods are disclosed for cross-system nested journey modeling based on relation of machine data. An example method includes obtaining information describing a user journey that includes multiple steps, each step corresponding to a query to be applied to events related to data sources. At least one step is a nested user journey including sub-steps. Events obtained from the data sources are related based on the obtained information. The results of the relating are displayed.

Abstract: Systems and methods are disclosed for cross-system journey modeling based on relation of machine data. An example method includes obtaining information describing a user journey that includes multiple steps, each step corresponding to a query to be applied to one or more field-searchable data stores storing events, each event including a portion of machine data that reflects activity in an information technology environment and that is produced by a component of that information technology environment, and each event being associated with a timestamp extracted from the portion of machine data of that event. Events returned as a result of the query of each step are related. The results of the relating are displayed.

Abstract: Systems and methods are disclosed for generating a user interface to enable identification of one or more pivot identifiers and one or more step identifiers. The system executes a query on events having raw machine data associated with a timestamp and obtains fields associated with the events. The system further populates a graphical user interface with field identifiers associated with the obtained fields and enables identification of one or more fields as one or more pivot identifiers and one or more step identifiers.

Abstract: Systems and methods are disclosed for generating one or more journey instances from events having raw machine data associated with a timestamp. The system generates a user interface that includes field identifiers associated with the plurality events for selection as one or more pivot identifiers and one or more step identifiers. Based on the one or more pivot identifiers, the system identifies related events that share a common field value, and based on the one or more step identifiers, the system groups the related events into a subset of events. Using the subset of events the system builds a journey instance.

Abstract: Systems and methods are disclosed for processing events having raw machine data associated with a timestamp using one or more pivot identifiers and one or more step identifiers to generate one or more journey instances. Based on the one or more pivot identifier field, the system can relate events that have a common field value for the pivot identifier field. Based on the one or more step identifiers, the system can groups the related events into a subset of events. Using the subset of events the system can build a journey instance.

Abstract: Systems and methods are disclosed for analyzing multiple groups of ordered events having raw machine data associated with a timestamp. The events in a particular group of ordered events can be related based on a common field value for a particular field associated with a pivot identifier. Further, the events in a particular group of ordered events can be categorized based on one or more field values for field associated with a step identifier. One or more visualizations can be generated based on one or more of the groups of ordered events.

Abstract: Systems and methods are disclosed for cross-system journey modeling based on relation of machine data. An example method includes obtaining information describing a user journey that includes multiple steps, each step corresponding to a query to be applied to one or more field-searchable data stores storing events, each event including a portion of machine data that reflects activity in an information technology environment and that is produced by a component of that information technology environment, and each event being associated with a timestamp extracted from the portion of machine data of that event. Events returned as a result of the query of each step are related. The results of the relating are displayed.

Abstract: Systems and methods are disclosed for cross-system nested journey modeling based on relation of machine data. An example method includes obtaining information describing a user journey that includes multiple steps, each step corresponding to a query to be applied to events related to data sources. At least one step is a nested user journey including sub-steps. Events obtained from the data sources are related based on the obtained information. The results of the relating are displayed.