The Hidden Flaw in Location Data (And How to Solve It)

What this episode covers

📩 Get every update from my newsletter ➡️https://forrest.nyc ⬅️🔑 Sign up for Placekey here:https://placekey.ioMerging and cleaning location data is one of the biggest headaches in GIS, real estate, and business intelligence. Duplicate addresses, inconsistent formats, and messy datasets can derail even the most sophisticated analysis. But what if there was a universal identifier that made all of those problems disappear?In this episode, I sit down with Hayden Mortimer, President of PlaceKey, to uncover why traditional addresses aren’t enough and how PlaceKey is revolutionizing the way we connect place-based data. We dive into the challenges of entity resolution, the pitfalls of fuzzy matching, and how a simple, open-source identifier is making spatial joins seamless.Whether you work in GIS, data science, or any field that relies on location data, this conversation will change how you think about addressing and spatial relationships. Don’t miss it!✔️ Why addresses alone aren’t reliable for data integration✔️ The hidden challenges of matching places across datasets✔️ How PlaceKey works and why it’s different from other solutions✔️ Real-world use cases for small businesses and enterprise-level applications✔️ The future of location data and entity resolution🎧 Listen now and learn how to fix your messy location data for good!

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Frequently Asked Questions

How long is this episode of Spatial Stack with Matt Forrest?

This episode is 46 minutes long.

When was this Spatial Stack with Matt Forrest episode published?

This episode was published on February 12, 2025.

What is this episode about?

📩 Get every update from my newsletter ➡️https://forrest.nyc ⬅️🔑 Sign up for Placekey here:https://placekey.ioMerging and cleaning location data is one of the biggest headaches in GIS, real estate, and business intelligence. Duplicate addresses,...

Can I download this Spatial Stack with Matt Forrest episode?

Yes, you can download this episode by clicking the download button on the episode player, or subscribe to the podcast in your preferred podcast app for automatic downloads.