Just as rotten eggs ruin a recipe, rotten data sickens downstream processes like underwriting, reporting, financial modeling, dashboards, and AI...
You need to be on your game to tell the difference between a time- and money-wasting AI solution and one...
Amidst all the hype, it can be challenging to distinguish genuine value from noise, avoid the bullsh!t, and develop a...
Explore crucial lessons from funds that made strategic investments during economic downturns, and insights into how smaller funds can hold...
Post-pandemic growth is waning, but opportunities still exist in hybrid neighborhoods.
The data and application landscape is fragmented and siloed, and we need to find a path forward that enables investors,...
For every intersection of geography, capital stack, investment, and asset class, there’s an abundance of applications and data solutions that...
Resilience in real estate is more than a state of mind. It’s about having the right tools and strategies to...
Most buzzwords – and solutions – around real estate data are BS. At CREtech New York 2022, we highlighted real...
Powered by our Data Kit for SFR, Cherre is taking a deep dive into the trends, history, and data around...
You may have heard us talk about Cherre’s real estate knowledge graph. But what is a knowledge graph, and why...
Using explainable machine learning techniques, the insights team at Cherre has discovered major demographic drivers for housing prices in major...
Owner Unmasking is an algorithm that identifies the true owners of a real estate property. It sits on top of...
Background As I mentioned in the blog post on our Owner Unmasking Algorithm, a knowledge graph is an abstract way...
