The industry for curated information is continuing to grow rapidly across the globe
FM
“Big data” has been gaining a lot of attention in recent years. Regardless of what industry you’re in, chances are you’ve likely heard of the importance of this new trend when analyzing consumer habits and making more informed business decisions.
But what is it, why is it growing in popularity, and what difference will it make for the real estate industry? Let’s investigate further.
What is “Big Data”
Simply put, “big data” is nothing more than a vast volume of information, both structured and unstructured, that can be analyzed to give businesses insight. Those insights can be about nearly any concern a business or organization may have.
Some common applications of big data are analyzing consumer spending habits for retail, finding ways of reducing traffic congestion for governing bodies, creating effective marketing strategies, and tackling nearly any other concern a business or organization may have.
These vast amounts of information are too much for a single analyst to personally identify trends and behavioral patterns, but with today’s technology, enormous amounts of available consumer data can be transformed into valuable insights.
The Rise of Big Data
Because of the advantages big data offers businesses, the industry for curated information is continuing to grow rapidly across the globe. Market research firm Wikibon forecasts the growth of the worldwise big data market to continue with an 11.4% compound annual growth rate (CAGR) each year, resulting in big data revenue to grow to be a $103 billion industry by 2027. When comparing the $103 billion amount to just $7.6 billion in 2011, it’s not difficult to see that the information age continues to capture the attention of business.
Big data market size revenue forecast worldwide from 2011 to 2027, Statista
How Big Data Can Benefit the Real Estate Industry
One section of the economy uniquely positioned to benefit from the rise of big data is the global real estate industry. While other industries will undoubtedly continue to take advantage of big data and all that it has to offer, the world of real estate is one that’s truly data-driven.
Unlike other products available for consumers, pricing and valuation in the real estate industry is more difficult to quantify (though certainly not impossible). Because pricing and appraisals are affected by more than simply the cost of goods used to construct a property, big data plays a major role here.
Companies like Zillow, Trulia, and Redfin have already shown the real estate industry the power of big data by acting as important disruptors. Given the information these companies are able to compile and, in many cases, collect (things like the buying and selling trends in a specific area, amount of commercial vs residential development in a given area, traffic, demographic information, consumer survey results, etc.), they’re able to offer clear insights on pricing, home-value trends, and potential value of neighborhoods.
Buyers, sellers, realtors, financial institutions, and other parties all require access to data to make informed decisions about real property.
“Realtors should educate themselves about big data and be knowledgeable of how it’s being collected through mobile devices. Buyers will increasingly use their smartphone during the search process -- often times before first talking to an agent. Realtors who adapt and embrace big data will add considerable value to their relationship with clients.”
Improving Access to Big Data
While the advantages of big data are becoming increasingly more evident to many in the real estate space, there are still barriers keeping the industry from truly leveraging big data. Of the current issues, one of the top concerns is the lack of standardization of data and ability to access data in a cost-effective manner.
“The industry is poised to take its biggest weakness -- a lack of technology -- and turn it into its biggest strength. There are thousands of MLSs, agent/firm websites, CRM systems and startups all building tools to make the transaction process more cost-effective and efficient. However, these systems are not compatible with each other.”
King isn’t the only one taking notice of the real estate industry’s pain points either. ReBloc is another blockchain-based startup that’s tackling the same problem in the space by working towards “democratizing real estate data” by allowing users to buy and sell valuable real estate data.
Joining others striving to solve bottlenecks in the real estate data industry, ReBloc is building a system for all parties involved in the real estate process (buyers, sellers, realtors, financial institutions, brokers, etc.) to benefit from not only using valuable data, but contributing and validating existing data for others.
The Takeaway
Big data has been growing rapidly as its own industry, but the implications of the information gathered and leveraged extend to nearly every sector of the global economy. As the trillion dollar real estate industry looks for answers and advantages in the growing field of big data, it must first develop an effective manner for organizing and accessing this valuable information.
Between all the parties involved in the process of building, buying, and selling real estate, it’s crucial that the industry accomplishes a way of allowing both individuals and large businesses to take advantage of the increasingly useful collection of big data.
Disclaimer: This is a contributed article and should not be taken as investment advice
“Big data” has been gaining a lot of attention in recent years. Regardless of what industry you’re in, chances are you’ve likely heard of the importance of this new trend when analyzing consumer habits and making more informed business decisions.
But what is it, why is it growing in popularity, and what difference will it make for the real estate industry? Let’s investigate further.
What is “Big Data”
Simply put, “big data” is nothing more than a vast volume of information, both structured and unstructured, that can be analyzed to give businesses insight. Those insights can be about nearly any concern a business or organization may have.
Some common applications of big data are analyzing consumer spending habits for retail, finding ways of reducing traffic congestion for governing bodies, creating effective marketing strategies, and tackling nearly any other concern a business or organization may have.
These vast amounts of information are too much for a single analyst to personally identify trends and behavioral patterns, but with today’s technology, enormous amounts of available consumer data can be transformed into valuable insights.
The Rise of Big Data
Because of the advantages big data offers businesses, the industry for curated information is continuing to grow rapidly across the globe. Market research firm Wikibon forecasts the growth of the worldwise big data market to continue with an 11.4% compound annual growth rate (CAGR) each year, resulting in big data revenue to grow to be a $103 billion industry by 2027. When comparing the $103 billion amount to just $7.6 billion in 2011, it’s not difficult to see that the information age continues to capture the attention of business.
Big data market size revenue forecast worldwide from 2011 to 2027, Statista
How Big Data Can Benefit the Real Estate Industry
One section of the economy uniquely positioned to benefit from the rise of big data is the global real estate industry. While other industries will undoubtedly continue to take advantage of big data and all that it has to offer, the world of real estate is one that’s truly data-driven.
Unlike other products available for consumers, pricing and valuation in the real estate industry is more difficult to quantify (though certainly not impossible). Because pricing and appraisals are affected by more than simply the cost of goods used to construct a property, big data plays a major role here.
Companies like Zillow, Trulia, and Redfin have already shown the real estate industry the power of big data by acting as important disruptors. Given the information these companies are able to compile and, in many cases, collect (things like the buying and selling trends in a specific area, amount of commercial vs residential development in a given area, traffic, demographic information, consumer survey results, etc.), they’re able to offer clear insights on pricing, home-value trends, and potential value of neighborhoods.
Buyers, sellers, realtors, financial institutions, and other parties all require access to data to make informed decisions about real property.
“Realtors should educate themselves about big data and be knowledgeable of how it’s being collected through mobile devices. Buyers will increasingly use their smartphone during the search process -- often times before first talking to an agent. Realtors who adapt and embrace big data will add considerable value to their relationship with clients.”
Improving Access to Big Data
While the advantages of big data are becoming increasingly more evident to many in the real estate space, there are still barriers keeping the industry from truly leveraging big data. Of the current issues, one of the top concerns is the lack of standardization of data and ability to access data in a cost-effective manner.
“The industry is poised to take its biggest weakness -- a lack of technology -- and turn it into its biggest strength. There are thousands of MLSs, agent/firm websites, CRM systems and startups all building tools to make the transaction process more cost-effective and efficient. However, these systems are not compatible with each other.”
King isn’t the only one taking notice of the real estate industry’s pain points either. ReBloc is another blockchain-based startup that’s tackling the same problem in the space by working towards “democratizing real estate data” by allowing users to buy and sell valuable real estate data.
Joining others striving to solve bottlenecks in the real estate data industry, ReBloc is building a system for all parties involved in the real estate process (buyers, sellers, realtors, financial institutions, brokers, etc.) to benefit from not only using valuable data, but contributing and validating existing data for others.
The Takeaway
Big data has been growing rapidly as its own industry, but the implications of the information gathered and leveraged extend to nearly every sector of the global economy. As the trillion dollar real estate industry looks for answers and advantages in the growing field of big data, it must first develop an effective manner for organizing and accessing this valuable information.
Between all the parties involved in the process of building, buying, and selling real estate, it’s crucial that the industry accomplishes a way of allowing both individuals and large businesses to take advantage of the increasingly useful collection of big data.
Disclaimer: This is a contributed article and should not be taken as investment advice
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Charlotte reflects on the Summit so far and talks about the culture inside fintech banks today. We look at the pressures that come with scaling, and how firms can hold onto the nimble approach that made them stand out early on.
We also cover the state of payments ahead of her appearance on the payments roundtable: the blockages financial firms face, the areas that still need fixing, and what a realistic solution looks like in 2026.
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Charlotte reflects on the Summit so far and talks about the culture inside fintech banks today. We look at the pressures that come with scaling, and how firms can hold onto the nimble approach that made them stand out early on.
We also cover the state of payments ahead of her appearance on the payments roundtable: the blockages financial firms face, the areas that still need fixing, and what a realistic solution looks like in 2026.
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Charlotte reflects on the Summit so far and talks about the culture inside fintech banks today. We look at the pressures that come with scaling, and how firms can hold onto the nimble approach that made them stand out early on.
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We speak about market structure, the institutional view on liquidity, and the sharp rise of prop trading, a sector Drew has been commenting on in recent months. Drew explains why he once dismissed prop trading, why his view changed, and what he now thinks the model means for brokers, clients and risk managers.
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We speak about market structure, the institutional view on liquidity, and the sharp rise of prop trading, a sector Drew has been commenting on in recent months. Drew explains why he once dismissed prop trading, why his view changed, and what he now thinks the model means for brokers, clients and risk managers.
We explore subscription-fee dependency, the high reneging rate, and the long-term challenge: how brokers can build a more stable and honest version of the model. Drew also talks about the traffic advantage standalone prop firms have built and why brokers may still win in the long run if they take the right approach.
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We speak about market structure, the institutional view on liquidity, and the sharp rise of prop trading, a sector Drew has been commenting on in recent months. Drew explains why he once dismissed prop trading, why his view changed, and what he now thinks the model means for brokers, clients and risk managers.
We explore subscription-fee dependency, the high reneging rate, and the long-term challenge: how brokers can build a more stable and honest version of the model. Drew also talks about the traffic advantage standalone prop firms have built and why brokers may still win in the long run if they take the right approach.
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We speak about market structure, the institutional view on liquidity, and the sharp rise of prop trading, a sector Drew has been commenting on in recent months. Drew explains why he once dismissed prop trading, why his view changed, and what he now thinks the model means for brokers, clients and risk managers.
We explore subscription-fee dependency, the high reneging rate, and the long-term challenge: how brokers can build a more stable and honest version of the model. Drew also talks about the traffic advantage standalone prop firms have built and why brokers may still win in the long run if they take the right approach.
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He closes with a clear message: fraud is scaling, and so must the tools that stop it.
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We start with Aydin’s view of the Summit and the challenges brokers face as fraud tactics grow more complex. He explains how firms can stay ahead through real-time signals, data patterns, and early-stage detection.
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He closes with a clear message: fraud is scaling, and so must the tools that stop it.
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We start with Aydin’s view of the Summit and the challenges brokers face as fraud tactics grow more complex. He explains how firms can stay ahead through real-time signals, data patterns, and early-stage detection.
We also talk about AI training and why compliance teams often struggle to keep models accurate, fair, and aligned with regulatory expectations. Aydin breaks down what “good” AI training looks like inside a financial environment, including the importance of clean data, domain expertise, and human oversight.
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Exness expands its presence in Africa: Inside our interview with Paul Margarites in Cape Town
Exness expands its presence in Africa: Inside our interview with Paul Margarites in Cape Town
Exness expands its presence in Africa: Inside our interview with Paul Margarites in Cape Town
Exness expands its presence in Africa: Inside our interview with Paul Margarites in Cape Town
Exness expands its presence in Africa: Inside our interview with Paul Margarites in Cape Town
Exness expands its presence in Africa: Inside our interview with Paul Margarites in Cape Town
Finance Magnates met with Paul Margarites, Exness regional commercial director for Sub-Saharan Africa, during a visit to the firm’s office opening in Cape Town. In this talk, led by Andrea Badiola Mateos, Co-CEO at Finance Magnates, Paul shares views on the South African trading space, local user behavior, mobile trends, regulation, team growth, and how Exness plans to grow in more markets across the region. @Exness
Read the article at: https://www.financemagnates.com/thought-leadership/exness-expands-its-presence-in-africa-inside-our-interview-with-paul-margarites/
#exness #financemagnates #exnesstrading #CFDtrading #tradeonline #africanews #capetown
Finance Magnates met with Paul Margarites, Exness regional commercial director for Sub-Saharan Africa, during a visit to the firm’s office opening in Cape Town. In this talk, led by Andrea Badiola Mateos, Co-CEO at Finance Magnates, Paul shares views on the South African trading space, local user behavior, mobile trends, regulation, team growth, and how Exness plans to grow in more markets across the region. @Exness
Read the article at: https://www.financemagnates.com/thought-leadership/exness-expands-its-presence-in-africa-inside-our-interview-with-paul-margarites/
#exness #financemagnates #exnesstrading #CFDtrading #tradeonline #africanews #capetown
Finance Magnates met with Paul Margarites, Exness regional commercial director for Sub-Saharan Africa, during a visit to the firm’s office opening in Cape Town. In this talk, led by Andrea Badiola Mateos, Co-CEO at Finance Magnates, Paul shares views on the South African trading space, local user behavior, mobile trends, regulation, team growth, and how Exness plans to grow in more markets across the region. @Exness
Read the article at: https://www.financemagnates.com/thought-leadership/exness-expands-its-presence-in-africa-inside-our-interview-with-paul-margarites/
#exness #financemagnates #exnesstrading #CFDtrading #tradeonline #africanews #capetown
Finance Magnates met with Paul Margarites, Exness regional commercial director for Sub-Saharan Africa, during a visit to the firm’s office opening in Cape Town. In this talk, led by Andrea Badiola Mateos, Co-CEO at Finance Magnates, Paul shares views on the South African trading space, local user behavior, mobile trends, regulation, team growth, and how Exness plans to grow in more markets across the region. @Exness
Read the article at: https://www.financemagnates.com/thought-leadership/exness-expands-its-presence-in-africa-inside-our-interview-with-paul-margarites/
#exness #financemagnates #exnesstrading #CFDtrading #tradeonline #africanews #capetown
Finance Magnates met with Paul Margarites, Exness regional commercial director for Sub-Saharan Africa, during a visit to the firm’s office opening in Cape Town. In this talk, led by Andrea Badiola Mateos, Co-CEO at Finance Magnates, Paul shares views on the South African trading space, local user behavior, mobile trends, regulation, team growth, and how Exness plans to grow in more markets across the region. @Exness
Read the article at: https://www.financemagnates.com/thought-leadership/exness-expands-its-presence-in-africa-inside-our-interview-with-paul-margarites/
#exness #financemagnates #exnesstrading #CFDtrading #tradeonline #africanews #capetown
Finance Magnates met with Paul Margarites, Exness regional commercial director for Sub-Saharan Africa, during a visit to the firm’s office opening in Cape Town. In this talk, led by Andrea Badiola Mateos, Co-CEO at Finance Magnates, Paul shares views on the South African trading space, local user behavior, mobile trends, regulation, team growth, and how Exness plans to grow in more markets across the region. @Exness
Read the article at: https://www.financemagnates.com/thought-leadership/exness-expands-its-presence-in-africa-inside-our-interview-with-paul-margarites/
#exness #financemagnates #exnesstrading #CFDtrading #tradeonline #africanews #capetown
