Business

Spatial data thinking for business decisions

What changed in my thinking after studying spatial data science and GIS in practical settings.

Thomas Hayford on spatial thinking in business
Good decisions improve when location, behavior, and operations are read together.

I shared a long LinkedIn post after completing a six-week Esri spatial data science program. The biggest lesson was not software complexity. It was decision clarity. Spatial thinking helps answer business questions in a way teams can act on.

For me, the practical framework is simple. Start with clean data. Use location context to test where value is concentrated. Then turn that analysis into clear actions people can execute quickly.

In my relationship and growth work, this matters because business owners do not need academic language. They need confidence in where to focus, what to prioritize, and what to change first. That is where location intelligence becomes useful in real life.

I also shared a reflection on talent pipelines in surveying and geospatial work. My view is that strong systems grow when diverse talent is supported early. Better learning access creates better business outcomes over time.