RIA OLAP Chart是一个全新的ASP.NET联机分析控件，可以为RadarCube ASP.NET用户提供可视化分析技术。ASP.NET OLAP Grid允许数字处理，RIA OLAP Chart允许用图表展示你的数据。这为用户提供了一个独特的功能，分析其业务数据并可视化的展示，而不是用数字，这是很容易实现的。

Now it's easier than ever to spot new trends and discover unknown problems in your data flow. No matter what industry you're working in: banking, sales, insurance, marketing, or manufacturing. RadarCube OLAP Chart will help you gain an insight into your data and make new discoveries.

 

 

 

Data Source

RadarCube OLAP Chart can use any data source be it a relational database or a multidimensional cube. You can construct your multidimensional cube from a relational database and then display it in the OLAP Chart. Or you can simply connect to MS Analysis Services OLAP cube to see its data visually.

 

Save Reports in file

At any stage users can save the report and distribute it to another person for analysis by network or email, so when the recipient gets the file he can open it and see the same OLAP slice. This is what your users expect from your applications and they will surely be able to do it.

 

Filters, Groups, and Sorting

With RadarCube OLAP Chart you can easy select what data you want to see and what you don't. You can apply powerful filters to anything including hierarchy members and measure values, thus leaving out the unimportant data. You can sort the data to see, for example, the top 10 values and then you can gather the rest values into a single group, so you only have what you really need.

 

 

 

Quick Filters

A Quick Filter is a powerful and handy filtering tool that allows you to select some range of data without even opening a dialog box. Quick filters are always at hand - it can be located in a separate panel, so you can access it immediately. Depending on an entity the quick filter is applied to, it can look different. But its purpose is always the same - help you concentrate on the data you are most interested in.

 

Modificators support

Modificators are easy and powerful options of data representation. You can choose your data be shown in different colors, using different shapes and sizes, so that you can easy distinguish them in a graph. You can simply place a dimension or a measure on a modificator's pane and get the graph showing different values in a different manner. For example, you might place the "Shippers" dimension on the Color pane and get the OLAP Chart showing shippers in different colors. Or you can place the "Sales" measure on the Color pane to highlight the top sales. The like can be done for Shape and Size so that you can make your data perfectly distinguished.

 

If a measure is placed on the Color pane, its values range is mapped to the given colors range so that it's tremendously easy to spot the top/low values.

 

 
 

 Shapes

Every hierarchy in the current view can be assigned a specific shape selected from a wide available range.

 

 

This option available if the chart displays points or lines and may be tremendously useful to identify display items belonging to some hierarchies. Here, the "Shippers" hierarchy is placed in the Shape modifier, so we can clearly see what shippers were the most valuable in the sales period.

 

 

 

Discrete Gradients

In addition to usual gradients with only start and end color settings, RIA OLAP Chart allows working with discrete gradients which allows setting ranges of values displayed in a selected color. These gradients allow setting up several thresholds and, thus, define the value ranges. For example, we can select the discrete gradient for displaying the Sales values, and thus spot the distribution of products within the ranges:

 

 

 

Zooming

It's easy to zoom into your data, so that you take a deeper look at a certain data square. Want a little bit more details? Not a big deal - just zoom into the data you're interested in. And all is done visually, so you don't even need to know the exact values of your data.

 

Look and Feel

You can set up a look and feel of the component selecting from the standard color schemes like MS Office 2003, Windows Vista, etc., or defining your own display style. In addition to the styles you can always override the standard appearance using many painting events - an unlimited ability to make up your own special appearance.

 

Copy to Clipboard

Select any data range in Olap Chart and copy to clipboard. Then you'll be able to paste it in an Office program for further analysis. You can also paste the Olap Chart like a picture to illustrate your investigations.

 

Unstructured Data Analysis

One of the best things about RadarCube OLAP Chart is that your data can be from any unstructured data source. Using the Cube Editor you can create a fully functional multidimensional model for a flat dataset. You can use the fields form the dataset to create such entities like Hierarchies, Measures, Calculated Hierarchies and Measures, and Calculated Fields. You don't have to have all data in one table - your data source can contain as many tables as you like, which can be related to each other. Also there is a special master for auto-creating the initial cube schema.

 

Extract the aggregated data

At any stage of your analysis you can see the underlying data for the selected values. There are two commands for that: "Show underlying data" and "Drillthrough..." The "Drill through" operation can be performed against any data source including relational databases. It shows all records from the data source that had been counted on calculating the selected points.

 

 

 

Calculated fields

If you're working with a relational or flat data source you can add calculated fields in the tables of the schema. This allows you to avoid creating additional fields on the database level that might lead to extra traffic. This can be very useful for creating calculated measures and hierarchies.

 

Calculated members

Calculated members and calculated measures can be used to provide some additional information to the hierarchy structure. This may be SubTotals, Intermediate Values, Expected Values, Moving Averages, and the like. Also calculated members can be used to provide Time Intelligence functions like Year or Quarter Increase. Calculated members can be used in any application domain which requires OLAP Analysis.

 

Additional advantages when working with MS Analysis Cubes

RadarCube OLAP Chart supports the following abilities of MS Analysis Cubes. KPI (Key Performance Indicators) with the ability to switch between value/goal/status/trend/weight, Time Intelligence (through the context menu on the diagram), Actions, Translations, Drillthrough, Writeback.

 

Development without a single line of code

You can tune every property in design time. So you can create a full visual analysis business intelligence application without having to write a single line of code. This tremendously reduces the development time sparing your expenses.

 

Comprehensive API

RadarCube OLAP Chart has a detailed and well documented API which allows you to perform any action on the chart from your code. Though the whole application can be created in design time, sometimes some functions need to be done in run time. This is where API is needed.

 

Client requirements

• IE6+ or Firefox 2+ or Google Chrome as a web-browser.
• Silverlight 4 runtime.

Developer requirements

• Visual Studio 2005, 2008 SP1, 2010 (recommended), Visual Web Developer.
• NET Framework 3.5 SP1 or higher (NET 4 recommended).
• Silverlight 4.0 runtime (Silverlight 4.0 Developer Tools recommended).
• For RadarCube for MSAS: ADOMD.NET, Microsoft SQL Server Analysis Services OLE DB Provider.
• To recompile RadarCube source codes (shipped with the commercial versions with source codes) Visual Studio 2010 and Silverlight 4.0 Developer Tools need to be installed.

Web server requirements

• IIS 6+.
• NET Framework 3.5 SP1.
• For RadarCube for MSAS: ADOMD.NET, Microsoft SQL Server Analysis Services OLE DB Provider.