Step-by-step tutorials
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Using crime data & spatial analysis to assess home insurance risk
In this tutorial, we'll be using individual crime location data to create a crime risk index. This analysis is really helpful for insurers looking to make more intelligent policy decisions - from customized pricing of premiums to tailored marketing.
A no-code approach to optimizing OOH advertising locations [ Video 🎥 ]Â
Leveraging Spatial Indexes along with human mobility and spend data to optimize locations for OOH billboards in a low-code environment. While this example focuses on OOH, the approach could be utilized in other sectors such as CPG, retail and telecoms.
Identifying customers potentially affected by an active fire in California
Use CARTO Workflows to import and filter a public dataset that contains all active fires worldwide; apply a spatial filter to select only those happening in California. Create buffers around the fires and intersect with the location of customers to find those potentially affected by an active fire.