为什么要购买Data Dynamics Analysis：

1.        无需编写任何代码就可在.NET应用程序中嵌入丰富的即用（out-of-the-box）功能。

2.        在控件中整合数据可视化工具（Data Visualization）和数据透视表（Pivot Table），节省您的时间和金钱。

3.      支持在.NET软件中支持对结构化和非结构化数据进行数据建模。比如，软件开发者可通过单独的XML文件，将未结构化数据建成多维格式，并由此结构化一套数据来支持OLAP分析进程。

4.        通过易用的、具有可拖放功能的交互工具，终端用户可用新方法探究他们的数据，进而发现易被忽略的数据发展趋势。

5.        将数据显示在多种视图的图表中，终端用户可更完全地理解他们的数据。

6.        支持所有的源数据格式，包括相关数据、XML数据、无连接数据、多维数据和未绑定数据，终端用户可灵活地分析各种数据。

7.        将可编程、可视化分析功能（比如数据和图表过滤）整合进WinForms 和ASP.NET程序。

8.        终端用户可通过不同方法获得他们需要的数据，如果有必要还可返回，不必担心内容丢失。有了自带（out-of-the-box）的撤销和重做功能，不必担心错过某个步骤。

9.        通过可编程工具栏，对终端用户公开数据分析功能，所以他们可使用与应用程序开发者相同的功能。

10.     支持基于许可的安全模型，只有指定用户可获得具有保密性质的数据。

11.     终端用户在运行时可数据透视表或者图表间更换，用户他们可使用最容易理解的方法查看他们的数据。

12.     通过类似层叠样式表单（CSS）的功能，用户可以轻易改变数据分析的形式（无需再编译）。

13.     支持数据整合、详细视图、字段计算、向下钻取（drill-downs在一个报表中点击转到其他地方）和drill-through（访问数据库）。因此用户可以很容易的由面板浏览转到详细分析去。

14.     可提供支持所有数据分析的内置打印。

15.    无限制分发。

Why Buy Data Dynamics Analysis:

• Integrates rich out-of-the-box functionality into your .NET application without a single line of code.
• Combines Data Visualization and Pivot Tables into one product to save time and money.
• Supports data-modeling 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.
• 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.
• Helps end users gain a complete understanding of their data with dashboard-like multiple views of the same data.
• Supports all data source types, including relational, XML, disconnected, multidimensional, and unbound data, giving your end users extreme flexibility in what they can analyze.
• Integrates programmable visual analysis features such as filtered data and charts into both WinForms and ASP.NET.
• 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.
• 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.
• Supports a permission-based security model, so that only selected users can access the most strategic data.
• 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.
• Makes it easy to change the appearance of analyses without recompilation with cascading style sheet (CSS)-like styling features.
• Supports data aggregates, detailed views, calculated fields, drill-downs, and drill-through, so users can easily move from broad overviews to detailed analyses.
• Offers built-in printing support for all data analyses.
• Offers royalty-free deployment.