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Real Estate Markets and U-Haul Migrations: What You Need To Know

Published by Jordan Girard on December 2nd, 2020

Real Estate Markets and U-Haul Migrations

When people look at data for real estate, there are often two types of data to analyze. The first data type is raw market data. These are the reports that you see on the news, such as "home prices went up in August", or "homes sit on the market longer". The second type of data for real estate analytics consists of... Read More

What Happens To Real Estate in an Election Year?

Published by Jordan Girard on October 25th, 2020

What Happens Real Estate Election Year

Election years have significant impacts on the financial and real estate markets. There's uncertainty. Democrats and Republicans have different plans for taxes, the economy, the stimulus, and more. The commercial and residential real estate markets are no exception. While many articles have a... Read More

Why the Best Real Estate Analytics Run on Quality Data

Published by Jordan Girard on October 18th, 2020

Why Real Estate Analytics Data Quality

Real estate analytics platforms need quality data to provide meaningful results. Here's how quality data can enhance your investment decisions.

When it comes to AI-based projects, you'll often hear the term "big data," as if the amount of data is the only thing that... Read More

The Residential Mortgage Industry after COVID – Where Does it Stand?

Published by Jordan Girard on October 11th, 2020

Residential Mortgage Industry After COVID

We’ve all seen the changes COVID made to the mortgage industry almost instantly. Things needed to change to accommodate the ever-changing landscape of the virus. Today, COVID continues to make its impact.

We’ve seen an incredible number of refinances and a slightly lower number of pu... Read More

Real Estate Tips: Why You Should Care About Real Estate Data Science

Published by Jordan Girard on October 5th, 2020

Real Estate Tips Why Data Science

Many investors and practitioners in real estate have long made decisions based on traditional data, a lucky hunch, and data from the past. Some of them may have even made decisions just because they got the “advice” from a fellow investor, friend, or “industry insider”.

When you are... Read More