How Big Data Impacts Working of the Real Estate Sector

By Wasib Imdad

Big data – a term masquerading as the huge amount of information that gets generated, daily, due to our interconnectedness, is capsizing business models from the tourism industry to advertising.

It is now also pervading the multi-layered, multi-billion-dollar real estate sector, which is usually known for its hefty reliance on tradition and has been a late adopter of newer technologies.

In many sectors, the incorporation of data and analytics isn’t new but the value of complex data sets and putting analytics to work parallel to people, in the real estate sector is somewhat a new norm.

Today, the colossal physiognomy of real estate across the globe is seeking insights through enormous data sets that throttle the Artificial Intelligence tools. Then, the generated knowledge is made use of by vital real estate decisions which usually range from ways to reach buyers to what type of property to build and where, and so on.

Big Data and its Role in Real Estate

It can be said that the past five years have seen big data playing an important role in organizing the real estate industry. Various influences can be felt, while others just go beneath the radar. Pakistan’s smartest real estate conglomerate, Graana.com helps you take a closer look at some of the impacts and interactions.

Big Data Enables Smarter Decision Making

Just like any other venture, some risks are inherent to the real estate market. Being able to carve a way out between these risks and navigate within them is essential to garnering profits. This is where smart and effective decision-making comes into play and that is where real estate analytics are required.

Prior to these metric-driven norms powered by real estate data, decisions were taken based on gut feelings and foresight based upon experience. Now, however, the vague and unaccounted strategies have given way to decisions grounded in data that result in profit-garnering investments and an overall better atmosphere.

This amalgamation of big data with predictive analytics and AI makes the search for properties easier. It allows investors to go for the chances that have high chances of being profitable and escape the ones considered as high-risk.

Big Data Assists Rental Property Investor

To a rental property investor, the right tenant means a long-term yet profitable investment, whereas the wrong one would obviously drain cash and waste time. Big data hereby enables us to focus on the best possible candidates.

The predictive real estate data analytics that relies upon real-time insights and big data will help the property investor to determine whether a renter is likely to be a good tenant or not.

On a macro level, there are analytics tools that assist investors to see what sort of renter pool they will have five to six years down the road, or in other words who the tenants will be in the coming years. Based on such information, they decide what type of renters they should target and whom they should skip out.

Making Use of Too Much Data

Big data, the term, masquerades various sources of data. If data isn’t dealt with in an order or isn’t organized, it is too easy for it to overwhelm you as a user. People dealing with big data may agree that too much data is of no use, as is too little data.

Thanks to machine learning algorithms and advanced analytics, the right sources of data are sifted out and even the most disparate data can be interpreted and made use of.

Advanced analytics help in quickly identifying the areas of focus and then enabling a user to analyze the potential of a given area, that too with a predictive lens. Using big data, a developer can access the local community data, which is tied to market forecasts and land use data. It enables a developer to optimize types of property, timings, and price fragmentations based on all of these findings to max out the value further.

Big Data Inducing Competition to the Market

While studying big data, we should bear in mind that it doesn’t modify what the fundamentals of real estate investments are. It plays with factors like access, mobility, profitability, predictability, and opportunity.

Companies that feed on big data as a resource will cash on better opportunities and results, whereas those who don’t will continue with the high-risk and uncertain time and tide.

Use of Big Data in Pricings and Estimates

Making use of Automated Valuation Models, that is, pulling data from a million listings across the globe helps to create accurate estimates of property valuations. Using this information, investors then induce smart offers that carry a greater chance of an advantageous return on investment.

Ever thought about how websites like realtor.com or Zillow estimate such exact property valuations? These Automated Value Computations are of great help in scenarios where there aren’t ample recent real estate transactions so that an agent can make an informed guess of the prices.

In situations of no solid history, AVM gets you to the starting point to understand the value. It is helpful for the investor to set a parameter, even if not leading to a specific offer price.

Wasib Imdad is a Content Specialist at Graana.com.