BI Implementation Analysis

The BI Implementation Analysis below is an example of an interactive web-based analytical dashboard built using InetSoft's intuitive software. A leader in dashboard, reporting, and data mashup solutions, InetSoft provides users with an easy-to-use software with multiple features and tools that enhances business operations.

By creating a visualization that allows users to mashup two different data sets, the chart below makes filtering and analyzing business intelligence implementation easy to do. With an easy-to-use point and click environment, along with a full set of customizable features, users can simplify their workload by drilling down into a specific set of technology applications, percentage of enterprises, category, and/or even implementation status.

InetSoft's visualization software combines ease of use with detailed tools and features to help users in day-to-day operations, as well as help them keep track of and achieve long term goals and objectives.

BI Implementation Analysis example
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Capabilities of the InetSoft's BI Implementation Analysis Dashboard:

  • Monitor, explore, and analyze by filtering and sorting desired information
  • Easy to use, modify, and create charts and visuals
  • Leverage user-driven data mashup
  • Upload and sift through multi-dimensional data to spot trends and aberrations
  • Slice and dice data with simple point-and-click method
  • Share visual analysis with others

InetSoft's business intelligence application makes a good choice because it's:

Easy

  • Enjoy a rapid implementation; minimum specialized IT expertise required
  • Experience a shallow learning curve for business users; only Excel-level skills needed
  • Make it easy for analysts & administrators; no SQL experience required
  • Scale up with zero-client deployment and no per-user licensing

Agile

  • Provide maximum self-service through ad hoc and visualization analysis
  • Enable self-service also at data level: end-user defined data mashup
  • Accommodate quick, formal, and experimental changes

Robust

  • Address advanced and mass needs
  • Run on a high performance, secure infrastructure

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