backIndustries > Housing & Real Estate

Find opportunities and assess future risks from the comfort of your home!

Schedule a meeting
Overview

Analyze data from traditional and alternative sources to predict valuations and spot trends

Real estate service providers can leverage big data to improve customer satisfaction and reduce costs, in turn enhancing their position as strategic partners to maximize and stabilize returns.

Big data has also  enabled the housing industry to identify minute yet important differences between local communities.

Whether it is data from traditional property listings (Zillow, Redfin, etc.) or alternative sources like social media or search engines, companies can leverage such data points to develop predictive algorithms and models, thus simplifying and improving buyer experience.

Retail Intro Side img

500M+

Web data collected per day

30K+

Categories parsed per day

99%

Data reliability
Applications

Do more with quality data at your disposal

applications

Similar to how price monitoring works for the retail industry, big data can be leveraged in real estate to monitor pricing fluctuations, so you’re able to make purchases when the price is right. Big data also gives investors insights on various factors - recessions, disasters, etc. - that impacts a property’s valuation.

Read More icon
Data Sources

Actionable web data across a multitude of sources

Zillow
Zoopla
OnTheMarket
Booking.com
Boomin
Trulia
Blog

A collection of articles, announcements and updates from Grepsr

View all resourcesbutton icon arrow
capterratag