Spotfire Location Analytics

Extraordinary Mapping Capabilities for Associating Data with Place.

Spotfire instant maps provide more comprehensive connections between data and location to help you understand data at finer detail. By bringing real-world context to your analysis, maps are unique in their ability to help you generate insights and make predictions that would not be possible using traditional tables and charts.

  • How to Get Started With Spotfire Map Charts

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Meet smart, automatic map-making

If your data includes columns labeled "state," "zip code," "longitude/latitude," or other location variables, and you chose to use Recommendations, Spotfire will offer a map as one possible choice. Just like that, Spotfire recognizes location data and treats it appropriately, providing you with a smart, interactive, customizable map.

location analytics meet smart, automatic map-making
location analytics map anything, not just geography

Map anything, not just geography

By mapping data over zoomable and drag-able images, you can visualize other location data on, for example, the human body, wafer chip and semiconductor schematics, and process diagrams. Spotfire maps can be visualized in exactly the same way as industry-specific solution packages (ArcGIS, Esri, others) without distortion.

Map anything, not just geography

By mapping data over zoomable and drag-able images, you can visualize other location data on, for example, the human body, wafer chip and semiconductor schematics, and process diagrams. Spotfire maps can be visualized in exactly the same way as industry-specific solution packages (ArcGIS, Esri, others) without distortion.

location analytics map anything, not just geography

Immediately correlate to the real world

A map is different than any other visualization in that it immediately connects data to quickly understandable real-world context. That simple fact often brings fast insight and understanding, helping you clearly determine how location (store layout, seating chart, human anatomy) relates to other data features. Maps are often best for optimizing routing and scheduling, calculating the economic potential of your route network, reducing fuel emissions, optimizing site selection, and much more.

location analytics immediately correlate to the real world