Property decisions often start with the data — suburb reports, growth charts, AI predictions. But while those numbers give you a useful baseline, they can’t tell you everything that matters.
In this episode, Veronica and Meighan explore where big data helps… and where it doesn’t — and why those numbers don’t always paint the full picture when buying your first home. They look at where big data can guide you, where it can mislead you, and how local knowledge, context, and on-the-ground experience still play a crucial role in choosing the right property.
They also talk about what gets lost when buyers depend too heavily on automated tools and averages — and why some of the most important details about a home or suburb never show up in the stats.
By the end of this episode, you’ll understand how to gather the right kind of data — combining the big-picture insights with what you can only learn from being there yourself. It’s not about ignoring the numbers. It’s about knowing what they miss.
Episode Highlights
00:00 – Introduction
01:09 – Why Blanket “Rules” Don’t Always Hold True
02:07 – The Appeal and Pitfalls of Big Data
02:41 – The Unseen Nuances: From Street Position to Lifestyle Fit
05:35 – Macro Data vs. Micro Reality
11:54 – When Personal Needs Outweigh the Numbers
16:48 – How to Use Data Wisely Without Getting Stuck Chasing “Perfect”
17:46 – Real-Life Lessons from Buyers
20:54 – Final Takeaways
Mentions
Course Details:
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