Google's Eric Schmidt once said: “There was five Exabytes of information created between the dawn of civilization through 2003, but that much information is now created every two days, and the pace is increasing.” And IDC reports less than .5% of data is ever used.

Enodo Score is a predictive analytics platform for the commercial real estate industry. The platform generates an objective composite score to represent the institutional investment grade of multifamily properties.

“What if instead of hearing 'granite countertops are in demand, you knew installing them would lead to exactly a $10 monthly rent increase?” Rutzen says. “What Enodo Score does is untangle the meaning of real estate data, delivering real insight instead of just piles of reports. We give you the ability to make investment decisions based on solid data science rather than intuition and guessing.”

As Rutzen sees it, the adoption of predictive analytics in decision making processes within the commercial real estate industry is going to have a significant impact. Predictive analytics is already a key differentiator in industries like manufacturing and retail.

“Right now most real estate data providers are focused on data aggregation and visualization,” he says. “But national firms and a select few startup companies are starting to incorporate true data science and predictive algorithms into their projects.”

ATLANTA—Big Data is not a big trend in commercial real estate—but it's a growing one. Firms like Xceligent and Ten-X are at the forefront of mainstreaming Big Data in the industry.

Big Data is, “extremely large data sets that may be analyzed computationally to reveal patterns, trends, and associations, especially relating to human behavior and interactions,” according to the Oxford Dictionary.

Marc Rutzen, Enodo Score cofounder and CTO, tells GlobeSt.com the problem real estate investors face today is clear: Many of the current real estate data providers just aggregate tons of data and basically throw it at you.

“No one actually tells you what that data means,” he says. “And the sheer volume of data available today is way too much for any one person to make sense of.”

Google's Eric Schmidt once said: “There was five Exabytes of information created between the dawn of civilization through 2003, but that much information is now created every two days, and the pace is increasing.” And IDC reports less than .5% of data is ever used.

Enodo Score is a predictive analytics platform for the commercial real estate industry. The platform generates an objective composite score to represent the institutional investment grade of multifamily properties.

“What if instead of hearing 'granite countertops are in demand, you knew installing them would lead to exactly a $10 monthly rent increase?” Rutzen says. “What Enodo Score does is untangle the meaning of real estate data, delivering real insight instead of just piles of reports. We give you the ability to make investment decisions based on solid data science rather than intuition and guessing.”

As Rutzen sees it, the adoption of predictive analytics in decision making processes within the commercial real estate industry is going to have a significant impact. Predictive analytics is already a key differentiator in industries like manufacturing and retail.

“Right now most real estate data providers are focused on data aggregation and visualization,” he says. “But national firms and a select few startup companies are starting to incorporate true data science and predictive algorithms into their projects.”