Abstract: Systems, devices, computer-implemented methods, and tangible non-transitory computer-readable media for generating reports from one or more databases that store disparate datasets are provided. Specifically, the proposed systems enable the intelligent generation of reports from multiple datasets by automatically determining a proposed set of join configurations for combination of the multiple datasets. Unique identifiers can be assigned to a portion of the combined dataset and the combined dataset can be expanded for performing an aggregation operation associated with the portion of the combined dataset by referencing the one or more unique identifiers. Reports can be generated based on the combined dataset and the aggregation operation.

Abstract: Architecture that facilitates the attachment of multiple visualization types (e.g., charts) to the data of a grid and the presentation of the visualization next to the grid. The infrastructure allows each data view to be associated with a set of visualizations. These visualizations are rendered along with the grid (in a separate presentation pane) so that the user does not have to switch context to perform analysis. The visualizations available include charts that show aggregate and/or non-aggregate data. In a server farm scenario, all user interactions such as drill-downs are provided. Server farm drill-downs for these visualizations can be obtained using MHTML (MIME hypertext markup language). The visualizations can be automatically updated when filters are applied on the grid, and when drill-down is performed on the visualization, the grid is automatically updated. The visualizations can be consumed from a web-based browser client and/or thick client, for example.

Abstract: Architecture that facilitates the attachment of multiple visualization types (e.g., charts) to the data of a grid and the presentation of the visualization next to the grid. The infrastructure allows each data view to be associated with a set of visualizations. These visualizations are rendered along with the grid (in a separate presentation pane) so that the user does not have to switch context to perform analyses. The visualizations available include charts that show aggregate and/or non-aggregate data. In a server farm scenario, all user interactions such as drill-downs are provided. Server farm drill-downs for these visualizations can be obtained using MHTML (MIME hypertext markup language). The visualizations can be automatically updated when filters are applied on the grid, and when drill-down is performed on the visualization, the grid is automatically updated. The visualizations can be consumed from a web-based browser client and/or thick client, for example.