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Where Big Data Helps — And Where It Doesn’t
Episode 2535th November 2025 • Your First Home Buyer Guide Podcast • Veronica Meighan
00:00:00 00:22:53

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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


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Course Details:

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Transcripts

HBA 253 - Where Big Data Helps — And Where It Doesn’t

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Introduction to Property Buying Myths

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Meet Your Hosts and Their Mission

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Breaking Property Buying Rules

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Understanding the PACE System

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The Appeal and Pitfalls of Big Data

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Nuances in Property Types and Locations

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Macro Data vs. Micro Reality

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Personal Needs and Property Choices

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Blending Data with Personal Needs

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Avoiding Analysis Paralysis

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Case Studies and Real-Life Examples

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Conclusion and Final Thoughts

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