Data Dynamics Analysis from GrapeCity is the first free-form, on-line analytical processing (OLAP) and visual-analysis component for Visual Studio.NET that overcomes the limits of traditional pivot tables and complex charting tools and allows .NET developers to embed an interactive business intelligence system within their .NET applications. Data Dynamics Analysis takes the complexity out of standard data analysis tools and gives developers a fully customizable, easy-to-use, drag-and-drop environment that allows users to explore data visually so they can quickly grasp what is happening.
Why choose Data Dynamics Analysis:
1. Data-modeling support for both structured and unstructured data in .NET. For example, developers can model unstructured data into a multidimensional format using a single XML file, thereby structuring a flat set of data to support a full OLAP analysis experience.
2. Easy-to-use, drag-and-drop-based interactive tools that enable end users to explore their data in new ways and discover trends that would otherwise go unnoticed.
3. Dashboard-like multiple views of the same data to help end users gain a complete understanding of their data.
4. Support for all data source types, including relational, XML, disconnected, multidimensional, and unbound data, giving your end users extreme flexibility in what they can analyze.
5. Programmable visual analysis features such as filtered data and charts—which can be integrated in both WinForms and ASP.NET.
6. Undo/redo features that give end users the flexibility to experiment with different ways of getting to the data they need—and backtrack if necessary—so they need not fear losing their context or missing a step.
7. Virtually all data filters that end users may need to effectively analyze their data.
8. A programmable toolbar that exposes data analysis functionality to end users, so they can use the same features that are available to the application developers.
9. Support for a permission-based security model, so that only selected users can access the most strategic data.
10. Ability for end users to easily switch between pivot tables and charts at run time, so they can view their data in whichever way they find easiest to understand.
11. Cascading style sheet (CSS)-like styling features that make it easy to change the appearance of analyses without recompilation.
12. Dockable, programmable windows that can be shown or hidden any time.
13. Support for data aggregates, detailed views, calculated fields, drill-downs, and drill-through, so users can easily move from broad overviews to detailed analyses.
14. Built-in printing support for all data analyses.
15. Built-in support for saving and loading all aspects of a visual analysis at run-time.
16. Royalty free deployment.
Testimonials:
"In the case of Data Dynamics Analysis, not only can end users view the data in both numbers and graphs, but we can easily modify the size, color, and other features of graphs to help them quickly grasp what's happening. No other component can do that."
- Daniel Reber, Lead Product Architect, Precision.BI, LLC
Case Study
Precision.BI was looking for a way to provide its solutions with OLAP capabilities without the huge overhead that an OLAP cube would create, given the incredible complexity of healthcare information. In view of the highly individualized reporting needs that characterize the healthcare sector, the company also needed a way to enable end users to design their own reports, without requiring programming skills. Read full
case study.
