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.

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Property price monitoring
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.
Actionable web data across a multitude of sources





