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Data Dynamics Analysis is the first free-form on-line analytical processing (OLAP) and visual-analysis component for Visual Studio 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 Data Dynamics Analysis

1. Integrates rich out-of-the-box functionality into your .NET application without a single line of code.

2. Combines Data Visualization and Pivot Tables into one product to save time and money.

3. Supports data-modeling for both structured and unstructured data in .NET.

4. Enables end users to explore their data in new ways and discover trends that would otherwise go unnoticed with easy-to-use, drag-and-drop-based interactive tools.

5. Helps end users gain a complete understanding of their data with dashboard-like multiple views of the same data.

6. Supports all data source types, including relational, XML, disconnected, multidimensional, and unbound data, giving your end users extreme flexibility in what they can analyze.

7. Gives end users the flexibility to experiment with different ways of getting to the data they need — and to backtrack if necessary — so they need not fear losing their context or missing a step with out-of-the-box undo and redo features.

8. Exposes data analysis functionality to end users with a programmable toolbar, so they can use the same features that are available to the application developers.

9. Supports a permission-based security model, so that only selected users can access the most strategic data.

10.Allows 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.Makes it easy to change the appearance of analyses without recompilation with cascading style sheet (CSS)-like styling features.

12.Supports data aggregates, detailed views, calculated fields, drill-downs, and drill-through, so users can easily move from broad overviews to detailed analyses.

13.Offers built-in printing support for all data analyses.

14.Offers royalty-free deployment.

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