GIS Data Analysis for Market Research: Where It Adds Real Value
Survey research tells you what people say. Spatial analysis tells you what is actually there. The two answer different halves of the same question.
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Working notes rather than marketing. Each article covers a decision we make regularly and explains why it matters, with the trade-offs stated plainly.
Survey research tells you what people say. Spatial analysis tells you what is actually there. The two answer different halves of the same question.
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Most spatial pipelines work perfectly once. The design decisions that matter are the ones that keep them working on run twenty.
A map of competitors is a starting point. Overlap, saturation and rate of change are what make it a decision tool.
Busy does not mean available. The areas that feel best on a Saturday visit are often the ones with the least room for another venue.
Bandwidth, normalisation and colour classification each change the conclusion. A heatmap without those three stated is decoration.
Four formats, four sets of limitations. Choosing the wrong one loses data silently, which is the worst way to lose it.
Not dashboards. Seven specific decisions where location data changes the answer, and what it costs to get there.
APIs are stable and constrained. Scraping is flexible and fragile. The right choice depends on the constraint you can least afford.
Mapping shows you where things are. Location intelligence tells you which option is stronger, by how much, and for what reason.
The hard part is not getting listings. It is getting all of them, once each, with categories that mean the same thing everywhere.
A POI record is a name, a category and a coordinate. Everything that makes POI data hard lives in those three fields.
Geospatial data is any data with a location attached. What makes it different is that distance, containment and adjacency between records carry meaning.
Editorial policy
We publish when we have something specific to say about work we actually do. Every article is written by the team that builds these datasets, and we would rather have twelve useful pieces than two hundred generated ones.
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Send us the specifics. We answer technical questions directly, whether or not there is a project in it.