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RIA OLAP Chart is a new ASP.NET OLAP control which brings the Visual Analysis technology
to RadarCube ASP.NET users. While ASP.NET OLAP Grid allows working with numbers,
RIA OLAP Chart allows representing your data graphically. This gives users a unique
opportunity to analyze their business data visually, dealing with charts rather
than numbers, which is much easier to perceive.
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. RIA OLAP Chart will help you gain an insight into your
data and make new discoveries.
Data Source
RIA 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 RIA OLAP Chart. Or you can simply connect to MS Analysis Services
OLAP cube to see its multidimensional data visually.
Save Reports in file
At any stage users of the component 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
and they will surely be able to do it.
Filters, Groups, and Sorting
With RIA 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.
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 single 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
Color pane and get the OLAP Chart showing shippers in different colors. Or you can
place the "Sales" measure on 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 at the moment 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 OlapChart and copy to clipboard. Then you'll be able to
paste it in an Office program for further analysis. You can also paste the OlapChart
like a picture to illustrate your investigations.
Unstructured Data Analysis
One of the best things about RIA 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 aggregate 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
RIA 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
RIA 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.
Developer requirements
- Visual Studio 2005 (or higher) or Visual Web Developer
- .NET Framework 3.5 SP1
Web-server requirements
- .NET Framework 3.5 SP1
- ASP.NET 2.0
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Download evaluation version
OLAP Grid for ASP.NET
ASP.NET version history
License agreement
Purchase OLAP Chart
Try OLAP Chart online
 November 20, 2008
RadarCube for ASP.NET 2.0
We are glad to announce the new RELASE 2.0 of our new product RadarCube ASP.NET and the new product named RIA OLAP Chart. You can download the new release or try it online right now.
December 24, 2008RadarCube ASP.NET 2.02.1
December 24, 2008Custom menus in RIA controls
December 3, 2008Visual analysis with RadarCube OLAP Chart
December 2, 2008RIA OLAP Grid: Customizing Cells' Content
November 19, 2008Migrate to RadarCube ASP.NET 2.0
November 19, 2008What is RIA?
November 19, 2008Why RadarCube ASP.NET RIA?
October 9, 2008Saving and Restoring RadarCube data
September 12, 2008RadarCube ASP.NET Direct: How to create the cube using IDataReader?
July 22, 2008RadarCube ASP.NET for MS Analysis. Getting started
July 22, 2008Creating Calculated Measures and Hierarchy Members with MDX
July 8, 2008Customizing the OLAP toolbox
May 22, 2008Customizing the pivot layout in the ASP.NET HTML OLAP Grid
April 17, 2008Customizing the ASP.NET HTML Grid contents
November 15, 2007Context filtering with RadarCube (ASP.NET edtion)
August 16, 2007RadarCube ASP.NET Direct: How do I make the Cube work faster?
June 11, 2007Calculated fields. Using TOLAPCube.OnCalculateFields event
June 11, 2007RadarCube ASP.NET Direct: Creating the Cube in run time
April 24, 2007RadarCube ASP.NET Direct. Getting started
April 18, 2007How do I use the OnDrillthrough event of the ASP.NET TOLAPGrid component?
April 3, 2007Types of dimensions
April 2, 2007License types for ASP.NET and Windows Forms products
March 20, 2007RadarCube ASP.NET Direct: Creating the data source
March 20, 2007Star schema
March 20, 2007Snowflake schema
March 19, 2007Locating a hierarchy member
March 19, 2007Are there any security mechanisms in RadarCube like those realized in MS Analysis?
March 19, 2007Does the RadarCube ASP.NET control have the ability to customize color schemes?
March 19, 2007How do I use RadarCube in a web-part?
March 19, 2007How to localize RadarCube (WindowsForms and ASP.NET)
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