Applications of geospatial data
Why is geospatial data important? Like all gathered information, geospatial data reveals important insights for multiple industries across the world. Below, we provide some examples of industries that use geospatial data and how they use it.
Geospatial intelligence can be used to create a next-level retail experience — think targeted marketing for customers and site analysis for ideal new store locations.
Engineering and construction
Using GIS and Computer-Aided Design (CAD) systems, engineers can undertake accurate modelling and facilities management, as well as provide location context for projects.
The public sector uses geospatial data for a host of applications including site monitoring, contact tracing, incident mapping and emergency services, vegetation management, and verifying building locations, boundaries, and new developments.
Banks and financial institutions use location data to discover risk zones and other patterns, then adjust services and offers based on this intelligence.
Geospatial data helps water, power, gas, and telco service providers plan infrastructure based on location and population, identify hazards, and gain visibility on usage habits.
Transport and logistics
Maintaining things like railway assets, airport assets, air traffic, long-haul trucking and the postal service requires being able to process large quantities of complex geospatial data.
Across all industries, there are three key benefits to using geospatial data. These three facets combine to become time and money-saving assets that industries rely on.
- The ability to get advanced warning on incoming changes set to affect businesses by flagging anomalies in geospatial data.
- Analysing geospatial data provides invaluable business insights backed by real-time evidence.
- The numerical precision of geospatial data can greatly improve operational efficiency.