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The Other Side Of Real Estate Big Data

Real estate agents are finding new success by tapping into the power of big data analytics.

You don't need to have been involved in the analytics sector for long to have heard some software vendor, consultancy, or service provider say, "We've been doing big data since before it was called big data."

In most cases such claims are met with plenty of skepticism.

However, let's turn our view to the customer community -- the enterprises that buy those software products and services. Some of them, depending on their industry, have been utilizing big data for decades. The difference today is in the level of analytics -- the automation -- that they are able to apply to that data, along with the fact that they didn't know it was big data years ago.

That certainly was the case in the financial sector, where analysts pulled together data from all types of sources to help investors make decisions. Even in other sectors, the best sales representatives mined multiple sources to find and build relationships with the best prospects.

Yet the best example of an industry doing big data before it was called that might be real estate. Realtors helping clients price and sell a home have to utilize hard, transactional data on "comps" (recent comparable sales) but must also draw on a reservoir of softer data about what makes a neighborhood appealing, what types of homes potential buyers have been asking about, and general economic trends at the national and local level.

Read the rest of this article on AllAnalytics.

Jim Connolly is a versatile and experienced technology journalist who has reported on IT trends for more than two decades. As editorial director of InformationWeek and Network Computing, he oversees the day-to-day planning and editing on the site. Most recently he was editor ... View Full Bio

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pfretty
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pfretty,
User Rank: Ninja
1/16/2015 | 1:03:37 PM
Ability to probe
One of the biggest difference is the ability to go further with the data to make more detailed and often more accurate decisions on a far more timely basis. However, the key here is still to take it one step at a time. Assuming technology alone is a magic pill is dangerous. Organizations need to build the culture, celebrate small wins and continue to build upon experience. 

 

Peter Fretty, IDG blogger working on behalf of SAS
Gigi3
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Gigi3,
User Rank: Ninja
1/8/2015 | 3:24:37 AM
Formation of Big Data
"You don't need to have been involved in the analytics sector for long to have heard some software vendor, consultancy, or service provider say, "We've been doing big data since before it was called big data.""

James, that may be true. These datas are generating from the beginning and it's in an unorganized way.  Since there are some limitations in backing up, it does get over written in same tapes again and again.  When storage technology/devices becomes cheaper, companies starts storing all the wanted and unwanted datas for name sake and address with the fancy name "Big Data"
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