InetSoft Documentation: Dashboard Component Properties

\Dashboard component properties grant end-users full control over the changes they wish to make to data visualizations. View the example below to learn more about the Style Intelligence solution.

The ‘Properties’ dialog box for output components provides the following tabs: General, Data, Advanced, and Pre-Aggregate. The next sections discuss the output-specific properties available under these tabs.

The General tab in the ‘Properties’ dialog box provides the following unique properties for output elements.

Number
Range		 Minimum: The starting value on the display
Maximum: The ending value on the display
Minor Increment: The minimum resolution on the display
Major Increment: The points at which the values are displayed
Face The visual form of the element. Click on the desired skin to select it.

 

doughnut dashboard gauges


Note: If you are connecting to the server via “https” in Internet Explorer, you may need to change the following Internet Explorer setting in order for the ‘Face’ property to update correctly: In Internet Explorer, open the ‘Internet Options’ dialog box, and click the ‘Browsing History Settings’ button to open the ‘Temporary Internet Files’ dialog box. Select ‘Every time I visit the web page’ under ‘Check for newer versions of stored pages’.

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InetSoft Viewpoint

"The open standards aspect is very important to us since it allows our customers to integrate our technology more easily and leverage assets they already have, in terms of hardware and software and IT skills. So based on this BI platform, our software delivers a host of front-end BI tools including visualization tools, enterprise reporting, monitoring dashboards, and analysis. Those functions were based on a very powerful patent-pending technology we call Data Block.

This Data Block technology is really made up of a back-end data mashup engine and a caching middle layer. There is a front-end we call the worksheet, which is a Web-based, spreadsheet-like user interface that a power user can easily use to combine and transform data blocks. The data blocks are typically started at the atomic data block level. That is typically created by an IT or a BI specialist. They choose these data blocks and performance tune those data blocks.

Then the power users can use those building blocks to build more complex, but more useful structures for answering the questions they have on hand. And all the data blocks you build, in turn become building blocks themselves. You can build on this architecture, building very sophisticated structures which you can use to answer a wide range of unanticipatible questions. " - Luke Liang, CEO, InetSoft

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