How Big Data Can Help the Real Estate Industry

For decades, real estate agents have gotten to know properties one by one, then presented their selling points to potential buyers. As the number of properties for sale increases and competition in the industry increases, big data can help real estate agents stay ahead of their competition and provide the best possible information to potential buyers. 

Let’s look at several ways that big data can help the real estate industry: 

Informed Real Estate Agents Stand Out in Online Marketing

While it used to be easy enough to stay on top of all the property listings in your area, it’s becoming more difficult for agents to compete with online listing sites that have access to large amounts of data. Informed real estate agents are using big data trends to gain unique insights into the areas that they serve. This allows them to stay ahead of the curve by using this information in their online marketing efforts.

As you build a social media presence, design a website, and market your real estate business, you’ll stand out in the crowd if you have cold, hard facts about the area you work in. This solid information sets you apart from other real estate agents in your area, showing potential buyers that you care about their needs and are willing to go the extra mile to answer their questions. 

Stay on Top of Foreclosure Information

Consumers are more interested in foreclosures now than ever before, as homes that have been foreclosed on are typically for sale for a much lower rate than the going rate in the neighborhood. Big data allows real estate agents to stay on top of trends in the industry, so that they are aware of which neighborhoods are struggling, as well as where and when foreclosures are happening. These informed agents are uniquely prepared to pick up foreclosures and add them to the list of homes that they market. 

Examine Health and Safety Issues

With big data, real estate agents can examine health and safety issues surrounding properties they are attempting to sell. By accessing public records for assessments and inspections in the area, real estate agents can gain information going back for multiple years. This information can be extremely important while trying to sell a property. Whether you’re selling residential or commercial properties, it’s crucial that you have all the information available before making a presentation to a potential buyer. 

 View Industry Wide Trends

Access to big data also allows real estate agents to compile information about an entire neighborhood, street, or school district. This information can be especially useful as you advertise homes in that area to potential buyers. Trends such as average income, school successes and limitations, arrest and drug abuse statistics, and more can all be very interesting to families moving into the area, and can also impact property values. As an agent, staying on top of these local industry-wide trends can be incredibly important. 

When you’re a real estate agent, finding the best possible information for your potential clients is essential. It can be tough to do this on a property by property basis. Instead, use big data and the internet to your advantage, so that you can gather the information you need quickly and effectively, then compile it in an attractive manner. 

How Experimentation Can Fast Track Big Data Capability

As more businesses explore the vast expanse of big data utilities, it is becoming clear that big data delivers more when managers are ready to be a bit creative. For a real estate business, big data can provide many standard utilities. Standard because soon most of the real estate organizations will gain similar big data advantages—this trend is already underway. So how does a real estate business make itself unique and more competitive?

This is where experimentation comes to the fore. Big data analysis can yield lots of actionable information provided you are ready to take some chances, allow room for creative experimentation, and use data sources that seem irrelevant at first sight. Here we discuss more about how experimentation can drive better ROI for your big data investment.

Big Data is Being Widely Embraced, but Who Will Benefit More?

We understand that big data is still new for most organizations. They are approaching big data with some apprehension along with lots of enthusiasm. It is unfair to expect such businesses to get creative with big data at the outset. This doesn’t make sense, particularly when digitization hasn’t been associated with the real estate industry in a larger perspective. We realize that most businesses in this niche are finding it difficult to let go of their legacy protocols, wanting to hold on to the traditional methods of working. However, the big data voyage has begun, and soon most businesses will be at ease working in a data-driven environment.

There is another aspect to this realization—some organizations have adaptability as a part of their core skills. On the contrary, some are deep rooted in hierarchies and don’t venture beyond the realm of expected outcomes. It seems that the more adaptable businesses have a better chance of extracting better ROI from their big data adoption. The more established businesses will take time as their bigger teams and numerous offices multiply the hierarchy, breeding lesser elasticity.

Big Data can Look Ungainly, But Don’t Fret - Placate Your Team

Big data involves high volumes, mammoth disparities, and real time performance. This means lots of data is collated from various resources, including data that is highly unstructured and processed in real time. During the initial few weeks, you might feel that your big data team is trying to do too much. However, don’t have doubts about this—the typical big data environment is very challenging and to others, it can seem very perplexing.

Data analysts work together, forming strategies on the go, hungry for processing more data. Once you have established a basic level of understanding with your big data team, try to establish an experimentation policy. The idea is to make the team feel that you support a certain degree of experimentation. The team should know that running correlations or comparisons that don’t amount to any conclusive information will not be ridiculed. You can ask the team to allocate certain hours or weekdays for running experimental data studies. This is vital to discover unexplored market service combinations and unearth new consumer zones.

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Why All Businesses Should Embrace Big Data

Some industry analysts have made less-than-enthusiastic forecasts about the widespread adoption of big data. According to them, big data will take time to be adopted by businesses—this can be up to five years.

Is this mere speculation?

There is some truth to this viewpoint. It seems that even among businesses using big data, the zone of maximum productivity remains elusive. This is because some companies have adopted big data without the necessary introspection. It should be understood that big data can deliver only when the resources managing it are well equipped. This means having the technical expertise for data collation, warehousing, sharing, and analyzing. Secondly, some businesses have acquired the expertise but lack the right insight necessary for driving business decisions using big data. Overall, it isn’t the ROI of using big data being questioned — the issue lies with handling it effectively.

The Transformation is Underway

You might think that big data hasn’t really taken off. However, the truth remains that it is much more than just another transformational technology. Despite the slightly-pessimistic perspective, it would be foolish to deny the growing interest in big data. Businesses of all sizes are realizing that big data is a definite, mainstream reality. It is just a matter of time when businesses of all sizes will incorporate the skills necessary to use big data. Big data is here to stay and this realization is underlined by the growing urgency to employ data-centric skills. Some businesses are aggressively hiring manpower that specializes in handling big data. Even better, some companies are looking for trustworthy data solution vendors who can empower them with big data capabilities at much lesser costs.

There is no doubt that big data yields better correlations that drive smarter business decisions. When combined with advanced analysis, big data can help you improve customer service and design better products/services. Data analysis can help you resolve problems that seemed exceptional and unsolvable.

Some Big Data Dynamics You Should Keep in Mind

If you have already begun the big data journey or are on the verge of starting it, please read the following:

Data Protocols

Ensure that you have effective data strategies in place. This includes protocols for collecting, saving, indexing, sharing, and analyzing data. Data should be accessible, but not at the cost of compromising data privacy and security. Whether it is the sales department or CEO’s desk, data protocols should be implemented across the organization.

Expertise to Use Big Data

One huge benefit with big data tools is that they can provide immediate results. This refers to simple data sets. Using this, managers can make decisions that affect the current, internal processes, customer service methods, and marketing strategies. Therefore, ensure that you have the required personnel in place to use big data. You should have data experts or managers who can put actionable data in motion.

Don’t be Apprehensive about being Data-centric

Once you start realizing the benefits of big data, it is likely that you will seek a data-centric approach to regular business processes too. This might upset a few employees and challenge authoritativeness of some managers. Accept this unpleasantness as a part of the transformation that will eventually subside.

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