InetSoft's visually advanced dashboard software offers a high level of customization so that users can craft the dashboards that best suit their needs. View the information below to learn more about the Style Intelligence solution.
Dashboards are used for monitoring key performance indicators, as well as for exploratory data analysis. Dashboards provide users with a variety of different views of their data using elements such as charts, tables, and gauges. They may additionally provide “input” control elements to allow users to interact directly with the data and tailor data views to their own needs.
Style Intelligence provides two kinds of dashboards, Portlet Dashboards and Viewsheet Dashboards. A Portlet Dashboard may contain both Viewsheet and report elements, aligned in various column and row configurations. A Viewsheet Dashboard, on the other hand, presents just a single Viewsheet. This top-level Viewsheet typically contains other nested Viewsheets, which may be positioned in any configuration within the top-level dashboard.
For dashboards containing only Viewsheet elements, the Viewsheet Dashboard provides the greatest flexibility in terms of layout and design. For dashboards containing both report and Viewsheet elements, the Portlet Dashboard should be used. The following sections explain how to create and administer dashboards.
In general, you will use the Enterprise Manager dashboard design tools to create “default” dashboards for end-users. Users can clone and adapt these dashboards to suit their own needs, as described in the Monitoring Dashboards section of End User. When a user-defined dashboard has the same name as an administrator-defined dashboard (for example, if the user clones a default dashboard), only the user-defined dashboard is shown.
To enable dashboards for users, follow these steps:
"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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