Sap Se

Other

Harish Tyagi

Xiaojun Feng

Sui Yan

Lukas Maximilian Brand

Systems and methods providing drill-down access to timeline events to a user by a user interface are disclosed herein. In some embodiments, a timeline is presented to a user by the user interface. The timeline may comprise a plurality of event cards comprising event data associated with a customer. The user may select an input associated with the event card. Upon selection of the input, a second plurality of event cards indicative of an event category and associate with the customer may be displayed.

Timeline control with in-place drill-down access to events

In an example embodiment, a process is introduced and acted upon a table prior to the rendering of the table. This process involves optimizing the display of the table by, among other things, automatically setting column widths to reduce extra white space, removing columns with no data, and/or generally reducing the size of the table to attempt to, if possible, remove the presence of a horizontal scroll bar.

Smart dynamic column sizing

Alternative visual analytics for a particular business object are determined in response to user requests to change the dimensions of a previously generated visual analytic. By analyzing the request to change the dimensions, an alternative visual analytic pattern that includes suitably dimensioned visualizations is determined. The alternative visual analytic pattern includes a description of a particular visualization and defines how to generate a corresponding visual analytic. Based on the alternative visual analytic pattern, a modified report definition can be generated. The modified report definition, that includes analytical operations with dimensions corresponding to the request, can be executed on the business object to generate modified analytic data. A new modified visual analytic that comprises a visual representation of the modified analytic data is then generated based on the alternative visual analytic pattern.

Dimension based dynamic determination of visual analytics

Systems and methods for determining alternative visual analytics are described. Visual analytics result from the application of visual analytic patterns that include instructions for generating visualizations of analytical data. Analytical data is the result of the execution of analytical operations specified in a report definition on an underlying business object. By analyzing the metadata associated with the report definition or visual analytic pattern, alternative visual analytic patterns may be determined that better represent the character of the analytical data. The metadata may include a mapping that associates alternative visual analytic patterns with a business object, a report definition, or another visual analytic pattern. Accordingly, the determination of the alternative visual analytic patterns may be based on the mappings. The alternative visual analytic pattern s may then be applied to the analytic data to generate one or more alternative visual analytics that may be selected by a user.

Growing community of inventors

Saratoga, CA, United States of America

Harish Tyagi