SafeGraph

Key Takeaways Geocoding APIs work well in regions with strong address coverage, but they break down fast when you scale into new or underserved markets. A geocoded address dataset gives teams a stable, queryable reference layer that does not depend on rea

Key Takeaways A POI record's completeness is determined by its metadata depth, not just its geographic coverage. Missing or stale attributes cause cascading failures across routing, analytics, attribution, and AI systems. Coordinates alone are insufficien

Key Takeaways High record counts can hide serious accuracy and freshness problems, coverage size and data quality are not the same thing. The dimensions that matter most: freshness, spatial precision, completeness, and reliability. You can pressure-test a

This blog was originally published on LinkedIn Author: Jason Richman, CEO of SafeGraph Original Source In 2016, SafeGraph's founder Auren Hoffman wrote a blog post called "Where Should Machines Go To Learn?" It wasn't a flashy post. No bold predictions ab

Key Takeaways Spatial autocorrelation measures the degree to which values at one location are related to values at nearby locations. Positive spatial autocorrelation means similar values concentrate together geographically; negative means dissimilar value