Business Objects Software Limited

Sap Se

Alfred Fung

Xing Jin

David Mosimann

Tao Lin

Jung-Rung Han

Ali Moosavi

Randy Uy

Ren Horikiri

Jeff Lavoie

Trevor Dubinsky

Erik Schmidt

Philip Leung

Miles Henley

Stephen Paxian

Brian McConville

Dolan Sum

Sean McGregor

Ariel Kahana

Edward Lam

Semuel Kadarusman

Techniques for validation against aggregation across different versions of data obtain a selection of a data set, a dimension configuration for a data visualization, and a filter configuration for the data visualization. Then it is determined whether the data visualization is valid based on a determination that the zero or more filter dimensions include the version dimension, or a determination that the zero or more selected dimensions include the version dimension, or a determination that the zero or more selected dimensions include at least one of the measurable dimensions and that all measurable dimensions of the selected dimensions are restricted to a single version of data from among the multiple versions of the same data. The data visualization is generated in response to a determination that the data visualization is valid.

Validation against aggregation across different versions of data

Software program 'help' functionality includes features enhancing its relevance to users. An engine may receive/record context data arising from interactions between a user and the software program. The engine may process that context data to reference a plurality of sources (e.g., official help documentation, user blogs, partner web sites, etc.) and harvest relevant help information. Based upon stored context data and help information available from the plurality of sources, certain embodiments may generate suggested questions allowing further exploration of help issues. Some embodiments may offer help information in the form of an interactive 'hotspot' focusing upon a specific UI element (e.g., icon). Processing the context data may allow the engine to assign a particular skill level (e.g., novice/intermediate/expert) to individual users, tailoring the help information to that skill level. The interactive nature of the help functionality may enhance its use in conjunction with complex workflows encountered in many software programs.

Application help functionality including suggested search

Interactive hotspot highlighting user interface element

Embodiments relate to techniques for performing data blending operations across multiple different data sets comprising data structures with columns and rows. The data sets may be classified and displayed in a visualization (i.e., chart) in a client interface. Columns and rows from the blended data sets may be mapped together (i.e., linked). Updates to the visualization, including adding elements from the data sets, may trigger a data blending process on the backend server in communication with a database. The server may blend the specified data by generating a runtime artifact representing a calculation graph for the blend operation and query the database to retrieve a resulting data set. The data blending operation may comprise collapsing dimensions of a primary data set with linked dimensions of a secondary data sets into a blended column and aggregating values of measures in rows of the blended column of the resulting data structure.

System and method for performing blended data operations

Data blending operations are disclosed configured to blend data from a primary data set and a secondary data set. Primary and secondary data structure models are generated reflecting selected dimensions and measures of the primary and secondary data structure models upon which the data blending operation is to be performed. Each dimension and measure in the primary and secondary data structure models includes a local identifier. Unique global identifiers are assigned to each local identifier of the primary and secondary data structure models. Client queries are generated and communicated to a backend server to perform data blending on the selected dimensions and measures of the primary data set and the secondary data set. The client queries may comprise the global identifiers and mapping information between the global identifiers and local identifiers. The backend system retrieves a resulting data set in response to the data blending operation based on this mapping.

Data source identification mapping in blended data operations

The disclosure generally describes computer-implemented methods, software, and systems for presenting error information. Logs are received from different locations, the logs associated with a plurality of builds at the different locations and associated with one or more systems. The logs are stored in a centralized location. Build information is generated for a given build, including identifying errors associated with the given build. Information for a current log associated with the given build is analyzed, including accessing information for previous logs associated with previous related builds related to the given build. Based on the analyzing, error diagnostic information that is to be presented is determined, including an analysis of errors that occurred in the given build and previous related builds. Instructions are provided, the instructions operable to present the error diagnostic information to a user, including providing log information, for presentation in a user interface.

Installation health dashboard

The disclosure generally describes computer-implemented methods, software, and systems for presenting error information. An indication is received of a selected error for a product installation. Installations are identified having a matching stream, build number and error. Other builds in a same stream having the same error are identified. Information is provided for displaying a graph having a horizontal line graph including first nodes representing builds in the same stream having the same error. Other occurrences of the error in builds of other streams are identified. Information for updating the graph is provided with parallel lines for each of the other streams, each parallel line including second nodes representing builds. An oldest one of the first nodes and second nodes is identified. Information is provided for presenting a list of potential changes occurring before the date associated with the oldest node and that are candidates for causing the error.

Tracing and discovering the origins and genealogy of install errors

Growing community of inventors

Burnaby, Canada

Alfred Fung