Sap Ag

Splunk Inc.

Sap Se

Other

Splunk He.

Joerg Beringer

Isabelle Park

Michael Hatscher

Horst Werner

Simon Foster Fishel

Eric Nathaniel Tschetter

Joshua Walters

Dennis Brian Moore

Frederic E Samson

Sandra Nieves

Markus Latzina

Eric Wood

Annette Haeussler

Kai S Richter

Reiner P Hammerich

Murray Spork

Eric R B Wood

Prasad Bhamidipati

Dominik R Tornow

Peer Hilgers

Leif Jensen-Pistorius

Edmund Eberleh

Chinhao David Lee

Cyrille Waguet

Matthias Harbusch

Werner Aigner

Klaus Wriessnegger

Cirrus Shakeri

Annette Häuβler

Emil Tso

Beth Beld

Annette Lenz

Marge Breya

Thomas Herrmann

Eliot Tarlin

Tillman Neben

Sabine Wagner

Susanne Lencinas

Juergen Zimmermann

Dennis Moore

Michael c/o Sap Ag Hatscher

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.

Relating events and matching events to steps of a process using field values from different fields

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.

Cross-system journey monitoring based on relation of machine data

Journey instance generation based on one or more pivot identifiers and one or more step identifiers

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.

Analyzing journey instances that include an ordering of step instances including a subset of a set of events

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.

User interface to identify one or more pivot identifiers and one or more step identifiers to process events

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.

User interface and process to generate journey instance based on one or more pivot identifiers and one or more step identifiers

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.

Cross-system nested journey monitoring based on relation of machine data

An action item specifying one or more tasks is instantiated. Thereafter, data characterizing the action item is associated with at least one tool to perform at least one task. Each tool comprises at least one service, application or procedure to facilitate or perform the at least one task. Subsequently, the at least one tool is initiated. User-generated input and/or other data is received from the at least one tool. Performance of one or more of the tasks specified by the action item is then finalized using the at least one tool and the user-generated input and/or other data. In some variations, the action item can be provisioned with at least one contextual resource to facilitate performance of at least one task. The at least one contextual resource can be associated with the action item and/or at least one user associated with the action item.

Provisioning and performing action items

In an embodiment, a user input defining an enclosed, graphical shape on a video display is received. A number of graphical items are identified as being included within the enclosed, graphical shape. Here, each graphical item is displayed on the video display and represents a data object that has a number of properties. A property is extracted from the number of properties that the data objects have in common based on the identification. A number of other manipulation techniques are also described.

Graphical manipulation of data objects

Various examples include systems, methods, and software that provide transformative user interfaces. Some examples include a container renderable within a user interface of a computing application. In some such examples, code of the container may be executable to receive an object to present within the container. Further, and based on a context of the container, such examples may present a view of the object within the container based on rendering information retrieved by the container via a rendering service of the object defining how the object is to be presented within the particular context of the container amongst a plurality of possible contexts within which the object can be rendered. In some examples, a container may further override and modify object behaviors when depending upon at least the particular container or context the context thereof.

Transformative user interfaces

A social network server provides collaboration networking capability for a network system such as a business system. A user can request to tie a collaboration thread to an anchor in the system. The anchor is a primary topic, which can be selected from topics provided by the system, or entered by the user. The selectable topics are derived from within the system. Whether selected or entered, the topic is associated with the collaboration thread to allow the thread to be managed as a resource in the system. The audience for the collaboration thread is controlled by the user, where topics can be applied as filters to generate an audience. The primary topic directs audience selection, and additional audience selection can be achieved by applying boundary topics. The collaboration thread is presented only to the audience, and the audience can be dynamically altered.

Audience selection and system anchoring of collaboration threads

Presenting a user interface in a computing system, where device-specific information is added to data defined generically with respect to a particular device or presentation technology. The generic definition can be provided via template representing data and functionality of a user interaction, which is presented to a user in a specific way on a specific user interface. A class can be derived in the user interface from the template and instantiated with data in accordance with particulars of a data type. Data can be presented via instructions representing basic presentation patterns defining how data is to be presented on a user interface. Identifications of the instructions are matched to instructions to generate instructions specific to a presentation environment.

Method and system for providing a user interface in a computer

Growing community of inventors

Frankfurt-am-Main, Germany

Joerg Beringer