
Importance of Data Analytics in Real Estate
Before the use of real estate data analytics, real estate was exclusively pushed by assumptions, estimates, and individual gut feelings. People made decisions based on what they felt would be appropriate at the time without considering statistical data. For instance, rental income from new buildings was mere estimates rather than calculations based on past and recent changes. As you’d expect, this resulted in mistakes being made over and over again, leading to big risks within the industry and loss in profits. Even the best players in the market struggled for consistency as they worked towards consumer satisfaction while trying to generate enough profits at the same time. With the creation of data analytics, the risk is subdued and the allowance of informed decisions leads to mo...



















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