Geospatial & GIS
Spatial analysis and map delivery that turn location data into operational answers.
What this is
Geospatial & GIS is data engineering and analysis for anything that has a location attached to it: assets, service territories, routes, parcels, sensors, incidents. Once data has coordinates, questions like "which customers are within this service radius" or "which parcels are at risk from this flood zone" stop being manual GIS-desk lookups and become queries a system can answer directly.
Problems it solves
- Location questions answered by manually clicking through a desktop GIS tool every time, instead of being available as a query or a map layer anyone on the team can use.
- Asset or service-territory data spread across spreadsheets and shapefiles with no single spatial source of truth.
- Field or satellite imagery collected but never turned into something queryable — a folder of TIFFs instead of a layer that can be joined against other data.
- Routing, coverage, or proximity logic hard-coded into a single report instead of exposed as reusable spatial infrastructure.
What the work involves
- Spatial data modeling: standing up a PostGIS-backed spatial database so location data can be joined, filtered, and queried like any other structured data — not treated as a special case.
- Analysis: proximity, containment, routing, and coverage analysis (which addresses fall inside a service polygon, which assets are nearest a given point, optimal coverage for a fixed set of resources).
- Imagery pipelines: ingesting and processing satellite or drone imagery — tiling, change detection, feature extraction — so imagery becomes a data layer instead of a static picture.
- Delivery: publishing maps and spatial layers through CARTO or ArcGIS, or building lightweight custom map interfaces when an off-the-shelf platform is more than the use case needs.
- Integration: connecting spatial data to the rest of the stack — a CRM, a work-order system, a public-facing map — so location intelligence is not stranded in a GIS silo.
What you get
A spatial layer that plugs into the rest of your data and applications, and analysis that answers a specific operational question instead of producing a map for its own sake.
When this isn't the right fit
If your location data need is genuinely simple — a store locator, a handful of markers on an embedded map — a lightweight mapping library is a simpler, lower-cost answer than standing up a spatial database and analysis pipeline.
Where this work lands
Industry pages that draw on this service.
Others in this practice areaData & Analytics Core
Next step
If decisions in your organization depend on where something is relative to something else, talk to our team about turning that into queryable infrastructure instead of a manual lookup.