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ASPxPivotGrid (ASP.NET)

ASPxPivotGrid (ASP.NET)
OLAP Data Mining Control for ASP.NET
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제조사 : DevExpress Brand Shop

제품번호 : 7088

유사 기능 제품: 데이터 분석 컴포넌트/애드인; ASP.NET 지원

P#	OS	언어	제품구분	버전	소비자가	공급가	견적	주문
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OLAP Data Mining Control for ASP.NET

When it comes to data mining and multi-dimensional analysis, an advanced and feature complete pivot table control provides business users unrivaled insights into daily operations. Until the release of the ASPxPivotGrid for ASP .NET, however, using the pivot capabilities of products like MS Excel® meant introducing "out-of-process" solutions within managed applications.

동일계열 제품

The ASPxPivotGrid was engineered from the ground-up to blow away the limitations posed not just by these out-of-process solutions, but to radically improve the way in which data-centric applications deliver information to end-users. With its powerful data architecture, the ASPxPivotGrid is able to slice and dice information efficiently and provide customers with an extremely intuitive end-user experience. It delivers numerous layout customization options with total end-user control over each individual on-screen report. Regardless of the perspective, data can be rendered to answer business questions - and best of all - it allows you to focus on business rules rather than creating dozens and dozens of reports.

Quickly Display Table Data into Fully Customizable Slice-and-Dice Reports
Our Pivot Grid Control has the power to convert hard to read and difficult to dissect dataset information into compact and summarized visual reports, thus addressing your customer's real-time business analysis needs. And just as important, users can easily change a report's layout visually in order to examine data from different/multiple perspectives so you never again have to foresee all possible report scenarios your end-users might require.
OLAP (Microsoft Analysis Services) Data Source Support
Microsoft Analysis Services (OLAP) data sources are now fully supported by the ASPxPivotGrid. If bound to such a data source, a pivot grid control delegates all data management and calculations to the server side.
Use Data Grouping for Flexible Data Analysis
End-users may not want to browse through each and every unique respondent age value and instead want to see the ages of respondents in intervals such as 21-30, 31-40, etc. Instead of viewing sales by each unique date, they may want to view the sales against months.
Hierarchical Data Display - Raw and Summarized Data in a Single Report
Field values are automatically arranged into a tree structure with expandable parents. End-users are free to expand and collapse child groups to see more summarized or raw reports.
Automatic and Manually Specified Totals
Among the many features available in the component library is its ability to display grand totals for each row and column automatically. On the rare occasion that the built-in summary computation engine does not address a specific business requirement, you can display any number of totals for any value group.
Sort Data and Display Top Rows - Easily Access the Most Important Information
Comprehensive data analysis often requires a two-way approach to data navigation in that you may need to find data by a specific value or find a value by its data. This means that sometimes you need the first product to be the one with the most or least sales, rather than the one which starts with an A or Z.
End-User Data Filtering
With the Pivot Grid's built-in visual filtering option, your end-users can manipulate reports on the fly using an easy to understand and familiar visual metaphor.
Export Data to Create Cross-tab Printed Reports
Once you've shaped your data as needed, you can easily create a printed cross-tab report.