Big data and real estate overlap
The very suggestion of the long, often fruitless search for a new home or apartment is enough to strike fear into the heart of any self-respecting person. For most, the process is deadening - from recruiting a reliable realtor, identifying a price range and ideal living area as well as working on leaving your last place of residency behind, the stressful situation often takes quite a long time. However, big data and cloud computing technology have sought to change this in recent years both to increase home buying convenience and yield higher profits for those selling real estate.
How realtors harness cloud infrastructure for profit
Real estate underwent an enormous revolution when the Internet dawned on the public when users were empowered to input their own preferences into a search engine and automatically be matched up with houses or apartments that meet those qualifications. This new tool meant that realtors needed to step up their game in order to remain relevant, or people would begin leasing directly from the building owners and companies themselves. Fortunately, the industry is still able to provide added value using big data technology.
Mashable contributor James O'Brien wrote a recent piece on how information analysis makes the home buying process easier, citing Web-based realty company Zillow and others like it as an example of productive progress. He interviewed Zillow's Chief Economist, Stand Humphries, about the company's cloud hosting strategy.
"We've moved from raw data to information and context, and finally to real, actionable insight," Humphries told the source. "We not only want to create complete transparency but also analytics products."
Essentially, these services are designed not only to give their users homes with the speculations they request, but use their own information to customize a report for them. This added personal touch has made Zillow and some of their competitors successful.
Your home, designed by big data
Once a home is selected and the lease or mortgage is official, the role of big data in the day-to-day of the home doesn't stop. According to Forbes contributor Adam Ozimek, the emerging popularity of "smart house" appliances that use data analysis to develop useful tools make maintenance easier for homeowners.
A great, rudimentary example was the craze about the robotic Roomba vacuum. A recent thermostat device, Nest, was acquired by Google as an intuitive program that remembers where people spend more time in the home, and bring additional power to that area while saving energy in others. From here, Ozimek predicted that tech companies will use big data and observational analytics to develop even more products.
"Robot vacuums will know the dimension of every room in the house, the kind of flooring in each, and maybe even the quality and age of the flooring," he speculated. "Smart TVs will know which room is the living room; Nest knows which room is the kitchen, which are the bedrooms, and how energy efficient the home is."
Whether you're purchasing or filling your new home, the cloud infrastructure will likely play a bigger role in it than you bargained for.
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