What Is Dirty Data and How Can We Avoid It? (Pt. 1)

This week we're getting dirty...diving into the 'dirty data' within short-term rental market analyses. I'm talking about what dirty data is, its impact, and how to spot and avoid it using practical examples from Airbnb listings and data tools. You'll hear the importance of scrutinizing property listings for anomalies in revenue, review counts, and calendar availability as indicators of reliability. I hope this helps inspire you to evaluate market and property data, in order to make informed investment decisions.

Connect with Kenny on LinkedIn!