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RadarCube Olap Chart is a new OLAP component written on C# 2.0, which is to bring
in the Visual Analysis technology to RadarCube users. While RadarCube Grid allows
working with numbers, RadarCube OlapChart 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. RadarCube OlapChart will help you gain an insight into
your data and make new discoveries.
You can use the component alone or with RadarCube Grid to combine the advantages
of both.
Data Source
RadarCube OlapChart 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 RadarCube OlapChart. 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 RadarCube OlapChart 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.
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 OlapChart 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.
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.
Dockable Panels
One and all aspects of analysis in RadarCube OlapChart displayed in panels can be
placed in its own position on the screen, docked to another panel, organized in
tabs, or minimized down to header to free the screen space. Thus every user can
make up its own working space. This is very useful feature especially taking into
account that the locations/conditions of the panels can be saved and then restored
back when needed.
Unstructured Data Analysis
The best thing about RadarCube OlapChart is that your data can be 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.
Printing capabilities
You can print your report to share it with others using the built-in Print Preview
window. You can tune your page/printer settings before printing. Also if you feel
like sharing the report through the net or by email you can easy export it to a
wide range of formats including PDF, XLS, CSV, JPG, etc.
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
OlapChart 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 OlapChart 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.
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Visual analysis with OLAP Chart
OLAP Chart Users Guide
FAQ
Download Desktop demo application
Download MSAS demo application
Download
Documentation online
 July 22, 2010
RadarCube for WPF beta is here
The new RadarCube for WPF version has started.
June 25, 2010RadarCube WinForms Desktop 2.31.0
June 25, 2010RadarCube WinForms MSAS 2.31.0
March 30, 2010Designing the Cube with the Cube Creation Wizard
December 16, 2009Creating custom Time Intelligence
November 26, 2009Creating the correct Cube structure
September 30, 2009RadarCube Request tracker
May 8, 2009Hierarchy members' attributes
February 10, 2009Initialization of the OLAP-slice view
December 19, 2008TOLAPExport control FAQ
December 3, 2008Visual analysis with RadarCube OLAP Chart
November 27, 2008Managing the Properties of the TToolbox Panel
October 29, 2008Chart for Windows Forms. Getting Started
October 23, 2008Trend lines in OLAP Chart
October 9, 2008Saving and Restoring RadarCube data
August 22, 2008OLAP Grid User's guide
August 22, 2008OLAP Chart User's guide
July 22, 2008Creating Calculated Measures and Hierarchy Members with MDX
October 29, 2007Context filtering with RadarCube (WinForms edition)
August 27, 2007RadarCube Windows Forms Desktop: How to make the cube work faster?
August 24, 2007RadarCube Windows Forms Desktop: Creating the data source
June 11, 2007Calculated fields. Using TOLAPCube.OnCalculateFields event
April 9, 2007RadarCube Windows Forms Desktop. Getting started
April 3, 2007Types of dimensions
April 2, 2007License types for ASP.NET and Windows Forms products
March 20, 2007Using RadarCube as a data source for Data-related components
March 20, 2007Star schema
March 20, 2007Snowflake schema
March 19, 2007Locating a hierarchy member
March 19, 2007How to localize RadarCube (WindowsForms and ASP.NET)
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