Abstract: A system and method for advertising cannibalization management are provided. In example embodiments, historical data comprising advertisement revenue, advertisement parameters, and a cannibalization metric are accessed. The cannibalization metric is indicative of sales loss associated with an advertisement presentation. A value for at least one of the advertisement parameters that, when used, causes a desired advertisement revenue with respect to a bounded cannibalization metric is determined by analyzing the historical data. An advertisement is presented, in real time, on a user interface of a client device using the determined value.

Abstract: A system and method for advertising cannibalization management are provided. In example embodiments, historical data comprising advertisement revenue, advertisement parameters, and a cannibalization metric are accessed. The cannibalization metric is indicative of sales loss associated with an advertisement presentation. A value for at least one of the advertisement parameters that, when used, causes a desired advertisement revenue with respect to a bounded cannibalization metric is determined by analyzing the historical data. An advertisement is presented, in real time, on a user interface of a client device using the determined value.

Abstract: A system and method for advertising cannibalization management are provided. In example embodiments, historical data comprising advertisement revenue, advertisement parameters, and a cannibalization metric are accessed. The cannibalization metric is indicative of sales loss associated with an advertisement presentation. A value for at least one of the advertisement parameters that, when used, causes a desired advertisement revenue with respect to a bounded cannibalization metric is determined by analyzing the historical data. An advertisement is presented, in real time, on a user interface of a client device using the determined value.

Abstract: A system and method for advertising cannibalization management are provided. In example embodiments, historical data comprising advertisement revenue, advertisement parameters, and a cannibalization metric are accessed. The cannibalization metric is indicative of sales loss associated with an advertisement presentation. A value for at least one of the advertisement parameters that, when used, causes a desired advertisement revenue with respect to a bounded cannibalization metric is determined by analyzing the historical data. An advertisement is presented, in real time, on a user interface of a client device using the determined value.

Abstract: A system and method for advertising cannibalization management are provided. In example embodiments, historical data comprising advertisement revenue, advertisement parameters, and a cannibalization metric are accessed. The cannibalization metric is indicative of sales loss associated with an advertisement presentation. A value for at least one of the advertisement parameters that, when used, causes a desired advertisement revenue with respect to a bounded cannibalization metric is determined by analyzing the historical data. An advertisement is presented, in real time, on a user interface of a client device using the determined value.

Abstract: A system and method for advertising cannibalization management are provided. In example embodiments, historical data comprising advertisement revenue, advertisement parameters, and a cannibalization metric are accessed. The cannibalization metric is indicative of sales loss associated with an advertisement presentation. A value for at least one of the advertisement parameters that, when used, causes a desired advertisement revenue with respect to a bounded cannibalization metric is determined by analyzing the historical data. An advertisement is presented, in real time, on a user interface of a client device using the determined value.

Abstract: Embodiments relate to transforming data views for analysis and/or collaboration purposes. An original data view is displayed on a document page in response to a database query. A filter operation is performed by selecting a specific subset of that original data view. A copy of that transformed data view portion including a tuple, is displayed in a separate analysis space (e.g., on the same document page, on another page, or within a collaboration panel). In one example, a user clicks/drags a subset of a table data view for transformation and copying. When the selected and transformed data view portion is copied to the analysis space, relevant associated context information (e.g., the underlying query, measures, dimensions, chart legends, formatting) may be retained for later access. To conserve the limited space typically available to a collaboration panel, certain embodiments may simplify presentation by reproducing only the characters of the transformed data portion.

Abstract: Embodiments effect the combination of data from different tables (e.g., of an underlying database), and the visualization of that combined table data in an incremental manner. Columns from a second table may be selectively combined with those of a first table, manually by user selection and/or automatically by best guess matching. Such matching may be based upon commonalities between table column headers. A menu may allow user selection of specific table(s)/table column(s) to be combined with a first table, as well as a manner of that combination (e.g., particular types of SQL join operations). The table data combination process is visualized step-by-step (e.g., allowing toggling and forward/backward navigation between interface screens), ensuring the user is able to follow data migration in the combined workflow, and appreciate/recognize changing values resulting therefrom.

Abstract: Embodiments effect the combination of data from different tables (e.g., of an underlying database), and the visualization of that combined table data in an incremental manner. Columns from a second table may be selectively combined with those of a first table, manually by user selection and/or automatically by best guess matching. Such matching may be based upon commonalities between table column headers. A menu may allow user selection of specific table(s)/table column(s) to be combined with a first table, as well as a manner of that combination (e.g., particular types of SQL join operations). The table data combination process is visualized step-by-step (e.g., allowing toggling and forward/backward navigation between interface screens), ensuring the user is able to follow data migration in the combined workflow, and appreciate/recognize changing values resulting therefrom.

Abstract: Embodiments relate to transforming data views for analysis and/or collaboration purposes. An original data view is displayed on a document page in response to a database query. A filter operation is performed by selecting a specific subset of that original data view. A copy of that transformed data view portion including a tuple, is displayed in a separate analysis space (e.g., on the same document page, on another page, or within a collaboration panel). In one example, a user clicks/drags a subset of a table data view for transformation and copying. When the selected and transformed data view portion is copied to the analysis space, relevant associated context information (e.g., the underlying query, measures, dimensions, chart legends, formatting) may be retained for later access. To conserve the limited space typically available to a collaboration panel, certain embodiments may simplify presentation by reproducing only the characters of the transformed data portion.

Abstract: A system and method for optimizing online traffic allocation between content sources are provided. In example embodiments, assigning a query score for each of a set of advertisement sources, accessing historical data from a database, determining a threshold value based on historical data of traffic share allocation between at least two advertisement sources satisfying a predefined criteria, selecting an advertisement source from the set of advertisement sources based on the query score for the advertisement source exceeding the threshold value, and selecting an advertisement source based on the query score exceeding the threshold value.

Abstract: A system and method for advertising cannibalization management are provided. In example embodiments, historical data comprising advertisement revenue, advertisement parameters, and a cannibalization metric are accessed. The cannibalization metric is indicative of sales loss associated with an advertisement presentation. A value for at least one of the advertisement parameters that, when used, causes a desired advertisement revenue with respect to a bounded cannibalization metric is determined by analyzing the historical data. An advertisement is presented, in real time, on a user interface of a client device using the determined value.

Abstract: A system and method for real-time comparison of data objects stored in a repository. A comparison of a plurality of selected objects may be implemented. A metadata comparison summary may be displayed to the user. The comparison summary may identity the most viewed, most liked, most disliked, or also viewed objects. The metadata comparison may be displayed on a user interface via the addition of an identification icon, by color highlighting a list of objects in the repository, by displaying a comparison summary in an information panel, or by other methods of object identification. In an embodiment, the user may control the type of information displayed in the comparison summary.

Abstract: A system and method for real-time comparison of data objects stored in a repository. A comparison of a plurality of selected objects may be implemented. A metadata comparison summary may be displayed to the user. The comparison summary may identity the most viewed, most liked, most disliked, or also viewed objects. The metadata comparison may be displayed on a user interface via the addition of an identification icon, by color highlighting a list of objects in the repository, by displaying a comparison summary in an information panel, or by other methods of object identification. In an embodiment, the user may control the type of information displayed in the comparison summary.