The pivot grid control is an easily configurable, presentation-quality business control that reads both relational and OLAP data sources. It is displayed with drill up and drill down capabilities and features exceptional performance.
There is extensive support to bind both OLAP and relational data sources.
Built-in support to drill up and drill down to visualize the grid information in both abstract and detailed views.
End users can easily slice and dice the Cube elements of their choice to visualize performance, trends, outliers, and more.
Slice and dice creates a new view for the end user by selecting limited dimensions and measures from the Cube and filtering them.
KPI are a collection of calculations associated with a measure group that evaluates business success.
Named sets simplify MDX queries and provide useful aliases for complex, typically used, set expressions.
Grouping bar is automatically populated with fields from the bound data source. It later allows end users to drag fields, filter and sort them, and create pivot views at run time.
Pivot table field list (also known as pivot schema designer) is a powerful tool that allows you to create and manage pivot table with either multidimensional or relational data sources. End users can drag fields and filter them at run time as they wish.
Users can apply filtering for selective displays of records either by including or excluding values.
Users can order rows and columns based on labels. It is supported only in a relational data source.
The pivot grid control is supported in all the major browsers in use today, including:
Allows users to define conditions that, when met, format (value and summary) cells’ font, color, and border settings.
You can now insert a new calculated field based on the existing calculated items either through UI dialog (at run time) or code behind. The calculated field option is supported only for relational data source.
Pivot grid retrieves information about a particular cell on hyperlink cell click. It later allows you to perform custom operations programmatically.
Pivot grid allows you to perform custom operations programmatically, on right-clicking over a cell. For example, creating and invoking content menu or dialog on right-click.
There is extensive support to select a range of value cells.
Tooltip provides basic information about a cell while hovering over it.
Users can edit the values at run time and save their changes to the underlying data source, thereby reflecting its update in the total cells. This feature is supported only for a relational data source.
You can easily resize each column’s width through a simple drag operation at run time.
Users can freeze row and column headers while performing a scroll operation in order to have a precise view of the content.
You can now hide either subtotals or grand totals or both at column and row position. This feature is supported only for a relational data source.
Pivot grid ships with a set of stunning, built-in themes.
Pivot grid provides ability to customize the appearance of the control to any extent programmatically.
You can easily customize all aspects of the appearance using the Theme Studio utility.