RESEARCH & RESOURCES

TDWI Checklist Report | Seven Use Cases for Geospatial Analytics

December 11, 2013

Increasingly, companies are looking to a variety of data types and new forms of analysis in order to remain competitive. Forward-looking companies are developing analytics ecosystems that make use of disparate kinds of data, including text data, social media data, machine data, and more. Geospatial data, sometimes referred to as location data or simply spatial data, is emerging as an important source of information both in traditional and in big data analytics.

Geospatial data and geographic information systems (GIS) software are being integrated with other analytics products to enable analytics that utilize location and geographic information. Such analytics are also moving past mapping to more sophisticated use cases such as advanced visualization and predictive analytics. According to a recent TDWI survey about analytics, for instance, the number of respondents who plan to use geospatial analytics will double between 2013 and 2016. Today, users want to better understand the value and use cases for this technology.

Geospatial information can be extremely helpful in a variety of analytics ranging from marketing to operations management. This checklist introduces readers to the range of use cases where geospatial analytics is being used today to support analysis.

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