Geographic Mapping Analytical Dashboard

The geographic mapping analytical dashboard here shows off the kind of tool that many marketers or business analysts can use to conduct thorough research on different data points based on geography, zip code, MSA, state, province, or country. An interactive web-based analytical dashboard, the chart here serves as a easy-to-view and navigate solution for organizations of any type.

The dashboard boasts the rich nature of visuals and filtering options, catering heavily to the user and their interaction with the software. Simple-to-use, the chart allows users to filter and sort by different regions, categories, and dimensions of the people.

Right away, the results are beautifully laid out in the map and more specifically, in the bar graph. This type of data and interaction level is very effective and efficient for organizations looking to analyze data on different demographics.

Powerful in every sense, InetSoft's business intelligence solution has provided organizations with the highest quality tools for dashboards, reporting, and data mashup to enhance business operations and objectives.

#1 Ranking: Read how InetSoft was rated #1 for user adoption in G2's user survey-based index Read More

dashboard chart

Capabilities of InetSoft's Geographic Mapping Analytical Dashboard

  • User-friendly interface for easy filtering and sorting options
  • Interactive data mashup for quick and effective analysis
  • E-mail, import, export, and print visual analysis
  • Easy multi-tasking to compare charts and graphs while drilling down into details
  • View data from multiple sources and formats on one dynamic screen
  • Use Google maps, standard countries and regions, and custom maps
  • Maximum self-service of all user types

InetSoft's BI application makes a good choice because it's...


  • 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


  • 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


  • Address advanced and mass needs
  • Run on a high performance, secure infrastructure
  • Leverage built-in Spark clustering
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