In Data Science

Resilience: The Key to Sustaining Success in an Unpredictable World

Resilience in real estate is more than a state of mind. It’s about having the right tools and strategies to...

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Impact of Demographics on Historical Housing Prices

Using explainable machine learning techniques, the insights team at Cherre has discovered major demographic drivers for housing prices in major...

Owner Unmasking v2.0

Owner Unmasking is an algorithm that identifies the true owners of a real estate property. It sits on top of...

Improving Knowledge Graph Quality with Neighborhood-Based Entity Resolution

Background As I mentioned in the blog post on our Owner Unmasking Algorithm, a knowledge graph is an abstract way...

Cherre Data Science: Owner Unmasking Algorithm

Welcome to Cherre’s Data Science Blog Series where we will highlight some of the cool things we’re working on, as...

Cherre Raises $50M in Growth Funding to Expand Fast Growing Real Estate Data Management and Analytics Platform

The round is led by Trustbridge Partners with additional funding from Glilot Capital Partners and former Goldman Sachs executive Mark...

Cherre’s Real Estate Data and Analytics Platform Wins Real Estate Tech Award for Data

This marks the third year in a row that Cherre has been a category winner in the most prestigious awards...

KDD 2020: Data Science for the Real Estate Industry

In August 2020, Cherre’s CTO Ron Bekkerman presented a tutorial on Data Science for the Real Estate Industry in collaboration...

The Year Ahead: Growth and Expansion in 2020

As we kick off the new year and reflect back on 2019, it’s clear that 2019 was a year of...

Building a Knowledge Graph Using Messy Real Estate Data

Building an effective knowledge graph requires a combination of technical skills (data science and data engineering) and domain knowledge. These...

2019 RESO Fall Conference

We just got back from the 2019 RESO Fall Conference, and we can say enough good things about where the...

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