Join me at ELIS 2026 - elisevent.com - Use the code Matt15 for 15% off! See you in Canada!
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Merging 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 arenāt 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. Donāt miss it!āļø Why addresses alone arenāt reliable for data integrationāļø The hidden challenges of matching places across datasetsāļø How PlaceKey works and why itās different from other solutionsāļø Real-world use cases for small businesses and enterprise-level applicationsāļø The future of location data and entity resolutionš§ Listen now and learn how to fix your messy location data for good!
Join me at ELIS 2026 - elisevent.com - Use the code Matt15 for 15% off! See you in Canada!



