BiG Data Market Analysis

Greenstone Realty turns market intelligence into intelligent real estate decisions.
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We purposely don't work the way other CRE brokers work.  While there's always a great deal of forethought that goes into pairing great retail locations with great retailers – we have the capabilities to conduct original research to gain relevant and valuable insights that form the basis of intelligent real estate decisions.  We often combine “Big Data” with local market intelligence to minimize risk and determine the importance of a location.

What is Big Data:

Larger, more technologically adept retailers and restaurant chains are using “Big Data,” large data sets that can be analyzed to reveal patterns, trends, and associations, especially relating to human behavior and interactions.  The term "big data" often refers to the use of predictive analytics, user behavior analytics, or certain other advanced data analytics methods that extract value from data, and seldom to a particular size of data set.  Analysis of data sets can find new correlations to spot business trends.  And new markets to exploit.

Market Analysis:

By identifying consumer trends and a group’s propensity to shop in a particular way, Greenstone Realty has developed proprietary software solutions and subscribes to the most powerful online resources available to deliver accurate and timely market-specific information.  Just as Big Data helps retailers gain more reliable insights into fashion trends, eating habits and shopping patterns, the technologies we employ are designed to gather and analyze relevant market metrics which creates the all-important rationale to lease – or walk away

Whether you are a landlord or tenant, we compile and present the details that form the basis of smart real estate decisions. We drill down to unearth and deliver powerful information – and communicate our findings more effectively. We harness powerful information, and in combination, we deliver a more-intelligent real estate rationale to lease or walk away.

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