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How can a Proptech Solution Succeed With Big Data Analytics?

Posted by TransformHub Insights Team April 13 2022

Economic instability has always been the nemesis of real estate investment, with low-interest rates being the positive aspect. That is why PropTech is more vital now than it has ever been. PropTech enables the real estate business to diversify its revenue streams and diversify its reliance on the economy.

The value of big data is what makes PropTech so valuable. Real estate investors benefit from the insights that big data solutions can provide, from determining the best investments to promoting and selling their properties with quality assurance services. In this piece, we'll look at a few instances of how big data technologies could impact real estate investing in 2022.

The real estate sector is under pressure to use big data to its full potential and incorporate machine learning and evidence-based techniques. According to the KPMG Global PropTech Survey 2018, artificial intelligence, big data, and data analysis were the technologies most expected to have the most significant long-term influence on the real estate business.

As a result, some forward-thinking senior executives at long-standing real estate institutions are pushing their companies to maximize the value of their decades of transaction, valuation, asset management, listing, and other data.

Power of nontraditional data

We frequently hear concern from developers and investors about the gap between the availability of data and the difficulties in utilizing it for immediate, meaningful insights. For example, developers and investors have long tried to figure out where to buy land and when to start building. Likewise, portfolio owners must optimize their assets and examine the factors that cause them to sell or capture value frequently.

When detecting subtle patterns, being sluggish is like leaving money on the table. Being the first to act on a compelling opportunity, on the other hand, gives you a substantial edge. Why is it so challenging to get that first-mover advantage? How can real estate developers and investors keep track of so much information and quickly spot hidden patterns that can be used to make money? What's been keeping them from doing so? The answer to all these begins with quality assurance services. This is where pioneers like TransformHub help real estate companies grow their assets in big data analytics with quality assurance services. 

It isn't easy to generate precise hypotheses and construct solid business cases using traditional analytical methodologies and data sources. Analysts must sift through tens of millions of records or data points to find clear patterns, and they must do it with only a few tools at their disposal to assist them in extracting insights from the data. As a result, the finest opportunities are gone by the time an investor gathers, combines, and analyzes the data needed to distill action.

Simultaneously, new and unusual data sources are becoming increasingly important. For example, residents' surveys, mobile phone signal patterns, and Yelp reviews of local eateries may all be used to discover "hyperlocal" ways and granular trends at the city block level rather than the city level.

PropTech to plan buildings

When it comes to Building Information Modeling (BIM) for homes, construction technology is also property technology. However, when utilized correctly, BIM allows firms to understand: 

How a structure will be constructed

How long will it take to complete?

What it will cost - and a lot more.

Several firms use artificial intelligence (AI) to recognize BIM model features in seconds, especially in Singapore and other Asian and Middle East countries. Data can be retrieved and processed in various ways simultaneously, something that even a big team of human specialists couldn't do. Before venturing near a construction site, you may decide on building materials, resourcing, and procedures.

Property developers or land agents can comprehensively comprehend land values in minutes by accumulating large databases, and gathering land data used to be a time-consuming process that required a lot of back-and-forth between various parties. LandInsight now collects data continuously, and the essential insights may be found with a simple search.

PropTech to manage buildings

The individuals who utilize the building are the most important people in real estate. Whether office employees or renters, how they interact with a building determines its success. Big data about structures has always been challenging, much like information from construction sites. However, building owners, facilities managers, and building users may now acquire data quickly and easily, thanks to the Internet of Things (IoT).

This type of big data not only saves time and money over manually gathering and interpreting data. In addition, it allows for faster and more effective facility management using data that has never been available before. This is a big part of quality assurance services that companies like TransformHub specifically take care of. 

PropTech to connect with customers

Salesforce and other Customer Relationship Management (CRM) systems are stepping up their attempts to pique the attention of the real estate market. The sooner real estate businesses begin collecting (possible) consumer information, the better. Real estate agents can understand their consumers before contacting them if they have the right technology and a commitment to data collection. Client service agents can provide a more personalized and gratifying customer experience.

Benefits of Big Data Analytics for PropTech

If you're a business exploring big data analytics, these are some of the ways it may help:

  • 1. Customer Acquisition And Retention

Organizations must take a distinctive strategy for marketing their products to stand apart. Companies can determine precisely what their clients want by utilizing big data. They create a solid consumer base immediately away.

New big data techniques are observing consumer trends. They then collect additional data to uncover recent trends and strategies to keep clients happy and leverage those patterns to inspire brand loyalty. Amazon has perfected this strategy by offering one of the most customized buying experiences available today on the internet. Suggestions are based on various criteria, including prior purchases, things purchased by other customers, browsing history, and many others.

  • 2. Focused And Targeted Campaigns

Businesses may use big data to give customized products to their target market. Don't waste money on ineffective advertising strategies. Big data enables companies to do in-depth analyses of customer behavior. Monitoring online purchases and observing point-of-sale transactions are standard parts of this analysis.

These data enable businesses to construct effective, focused, and targeted marketing, meeting and exceeding client expectations while also increasing brand loyalty.

  • 3. Identification Of Potential Risks

Businesses nowadays thrive in high-risk settings, but these surroundings necessitate risk management processes, and big data has played a vital role in developing new risk management solutions. Big data may help risk management models work better and generate wiser tactics.

  • 4. Innovative Products

Big data continues to assist businesses in updating existing goods and developing new ones. Companies can discern what matches their consumer base by gathering enormous volumes of data.

A corporation can no longer rely on instinct to be competitive in today's economy. Instead, organizations may now develop procedures to track consumer feedback, product success, and what their rivals are doing with so much data to work with.

  • 5. Complex Supplier Networks

By leveraging big data, companies may provide better precision and insights to their supplier networks, often known as B2B communities. As a result, suppliers can get around the limits they usually confront using big data analytics. In addition, big data allows suppliers to use higher levels of contextual intelligence, which is critical for their success.

Data analytics is now being viewed as a disruptive technology by supply chain executives who want to change the foundation of supplier networks to incorporate high-level cooperation. This collaboration allows networks to apply new information to existing challenges or circumstances.

Want to Build Your PropTech Software With TransformHub?

The real estate sector is only at the start of a significant move toward more data and data-driven decision-making. However, various entrepreneurs and forward-thinking organizations are already beginning to tap into enormous prospects. Several fundamental approaches for applying data science to real estate may help you move from millions of rows of data to granular understandings of past, present, and future real estate submarket performance and make better investment and commercial decisions.

To create your cutting-edge proptech software that will change the CRE industry, consider each product's primary features, business strategy, and other characteristics. We at TransformHub have a lot of experience designing high-quality technological solutions under quality assurance services for both proptech startups and commercial real estate firms. We'd love to help you with yours.

Please review our case studies and contact us if you seek a proptech software development business.

We'll be happy to go over your project and assist you in turning your technical specifications into a proptech solid program that works. Please contact us at sales@transformhub.com or phone us at +65 31384660 for more information.

 

   

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