Predicting Property Values: How Data Analytics is Transforming Real Estate Pricing Models

by Edward Roche

House valuation has always been a typically complex process, and one that’s difficult for laypeople to grasp. You could have a few different experts come round to look at your property, and each of them might come out with a different price. If you think that sounds frustrating, you’re right.

Luckily, data analytics have come along to save the day. Predictive analysis models are already having a positive effect on the real estate market, enabling more accurate valuations and forecasts. Soon, there may be no disputing the price of a house due to all the complex and accurate data points involved.

Data Analytics Have Enabled Accurate Cash Offers Online

Before data analytics came around to transform the real estate market, individual homeowners were at risk of being taken advantage of by real estate agents and investors. Without much knowledge of the market, it was hard for normal people to know whether they were getting a good valuation or not. Now, the use of data has made valuation models more accessible, so people can easily see why they’re getting a certain price on their dwelling. This means that selling up is easier than ever. There are online companies like We Buy Any House that can give you a cash offer within minutes, thanks to the fact that they use data analytics to assess the value of any home. They are also transparent and explaining exactly how much you can expect to receive when everything has been completed, with no hidden fees.

AI Algorithms Have Various Inputs

Data analytics in real estate draw upon a wide range of factors, but historical trends are up there with the main inputs. According to a piece in Inc., the AI algorithms in the modern real estate market make use of past data to make predictions about what could happen in the future. This is particularly useful in analyzing the economic cycles to anticipate when the market is going to go up or down.

There’s plenty of other information at play when it comes to valuing properties these days, though. For example, they can crunch the numbers regarding local economics, such as a rising or falling employment market. A neighborhood experiencing a surge of job opportunities and wage growth could see an increase in demand for housing, while one with stagnating economic development may see a decline in property values.

Predictive analytics aren’t just good for improving transparency in the housing market for homeowners, they’re also hugely important for investors. According to an article in BiggerPockets, using big data can be one of the most surefire ways to success for real estate investors. It can be the best way to identify high growth areas, meaning it’s possible to make strategic investments.

As with most industries in the modern age, big data and AI are leading to great developments. Predictive analytics is a welcome upgrade to the real estate market, as it leads to greater transparency and more accurate valuations.

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