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Short Description:
Nevron Gauge for SharePoint is an advanced web part, which delivers a complete set of radial and linear gauges, numeric displays and state indicators, driven by pivot data aggregation.
Long Description 1:
Nevron Gauge for SharePoint is an advanced web part, delivering a complete set of radial and linear gauges, numeric displays and state indicators, driven by pivot data aggregation. This allows the creation of complex gauges, KPIs, Scorecards and Dashboards, which are tightly integrated with your data, to be done visually and directly in SharePoint environment.
Long Description 2:
Nevron Gauge for SharePoint delivers a rich set of Linear and Radial Gauges, Numeric Displays and State Indicators to your SharePoint applications. The web part uses the powerful Nevron Pivot data aggregation engine, which, combined with the numerous gauge customization features makes it the perfect tool for displaying KPIs, numeric and real time data inside SharePoint. The web part is also very useful in the creation of Enterprise grade digital dashboards and reports as an integral part of the Nevron SharePoint Vision suite.
The product is completely configurable trough an advanced, pure HTML based gauge designer. The gauge designer supports all major web browsers and does not require any plug-ins (such as Silverlight or Flash). It does not use postbacks, MS ASP.NET controls or MS AJAX, which ensures that the client-server communication is minimized so the design process can speed up. The client-side is just HTML, CSS and jQuery JavaScript, while the server-side UI processing is pure HTML and script rendering.
Nevron Gauge for SharePoint includes:
- Multiple Gauge Areas and Gauge Combinations
- Advanced Gauge Axis Model and Scales Configuration
- Advanced Pivot Data Aggregation
- Built-in gauge formulas for data analysis
- Advanced Gauge Editor, Visual Styling and Code Customization
- Binding to ODBC, OLEDB, SQL Server data sources
- Binding to Business Data Catalog and Excel Services
- Support for WSS3.0, SharePoint 2007, 2010, 2013 and 2016
... and much more...
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