R.A (Rsquare Analytics) is a data analytics platform for our clients.
It collects, refines, and processes public databases and merges them with Rsquare’s proprietary commercial real estate data. Since the market requires high involvement, accurate data analysis is essential. We spoke with Kang-Min Ryu, Head of Rsquare’s Research Center, who led the data verification and indicator development for R.A.
R: What is your role in the R.A project?
Ryu: I’m responsible for 1) data verification and organization, 2) developing indicators, and 3) creating content reports within the R.A platform.
R: Who are the main users of R.A?
Ryu: R.A provides essential information about leasing, supply, sales, and demand trends in the market. Its primary users will likely include real estate investors, asset managers, and consulting firms.
R : How will R.A change how clients work, and what problems will it solve?
Ryu: R.A won’t offer groundbreaking "analysis results." Instead, it will provide the necessary data for analyzing the real estate market in a simple and accessible way.
In addition to rent, vacancy rates, and transaction data, R.A will offer public data like building permits and approvals.
We present the data not only through charts and statistics but also by mapping raw data on a spatial interface, allowing for a more intuitive and visual understanding of the market.
Kang-Min Ryu, Head of Rsquare Research Center
R: Did you reference any similar services when developing R.A? Why hasn’t a solution like R.A been available until now?
Ryu: We looked at services like MSCI RCA and CoStar in the U.S. In Korea, Real Estate 114’s Labs in the housing sector is a similar service.
R.A is a "comprehensive product." It includes easily accessible public data as well as industry-specific data like rent and vacancy rates, which require direct surveys.
The challenge is to effectively display all this data on a web platform in an intuitive way.
Gathering, organizing, and implementing diverse data by market and asset type, then presenting it seamlessly online, is no easy task.
R: What features of R.A have you focused on, and what challenges did you face during development?
Ryu: We’ve focused on data verification and organization. Market participants use data for various purposes, so R.A doesn’t offer "special analysis."
Instead, we aim to provide data that helps users quickly understand and analyze the market in a simple, visual format.
As I mentioned, R.A is a comprehensive project, and we faced many challenges in standardizing data and organizing diverse market types. It was a long and difficult process.
R: What strengths does Rsquare have in delivering R.A better than others?
Ryu: It’s the result of bold investments. We have a dedicated research team that specializes in data collection, and we have experts who can implement this data on the web.
While this kind of research doesn’t produce immediate revenue, continuous investment made R.A possible.
About Kang-Min Ryu, Head of Rsquare Research Center
He served as the director of the Genstar Research Team, Mirae Asset Securities Real Estate Research Institute, Seville's Research Team, and Igis Asset Management Research Center.
The Ministry of Land, Infrastructure and Transport participated in the study of the real transaction price of non-apartments, the actual transaction price of Seoul housing, and the KB Housing Price Index. And instead of Aegis-Instead, I received an external reward from the Bank of Korea for developing the Seoul Office Sales Price Index.
I published a total of 32 academic journal papers in Scopus and the candidate sites for registration. I received the best citation and excellence award from the Korean Association for Real Estate Analysis, and the best and best thesis from the Korean Association for Real Estate Analysis.
I graduated from Hanyang University's Department of Urban Engineering. I'm a Ph.D. from the same graduate school.
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R.A (Rsquare Analytics) is a data analytics platform for our clients.
It collects, refines, and processes public databases and merges them with Rsquare’s proprietary commercial real estate data. Since the market requires high involvement, accurate data analysis is essential. We spoke with Kang-Min Ryu, Head of Rsquare’s Research Center, who led the data verification and indicator development for R.A.
R: What is your role in the R.A project?
Ryu: I’m responsible for 1) data verification and organization, 2) developing indicators, and 3) creating content reports within the R.A platform.
R: Who are the main users of R.A?
Ryu: R.A provides essential information about leasing, supply, sales, and demand trends in the market. Its primary users will likely include real estate investors, asset managers, and consulting firms.
R : How will R.A change how clients work, and what problems will it solve?
Ryu: R.A won’t offer groundbreaking "analysis results." Instead, it will provide the necessary data for analyzing the real estate market in a simple and accessible way.
In addition to rent, vacancy rates, and transaction data, R.A will offer public data like building permits and approvals.
We present the data not only through charts and statistics but also by mapping raw data on a spatial interface, allowing for a more intuitive and visual understanding of the market.
Kang-Min Ryu, Head of Rsquare Research Center
R: Did you reference any similar services when developing R.A? Why hasn’t a solution like R.A been available until now?
Ryu: We looked at services like MSCI RCA and CoStar in the U.S. In Korea, Real Estate 114’s Labs in the housing sector is a similar service.
R.A is a "comprehensive product." It includes easily accessible public data as well as industry-specific data like rent and vacancy rates, which require direct surveys.
The challenge is to effectively display all this data on a web platform in an intuitive way.
Gathering, organizing, and implementing diverse data by market and asset type, then presenting it seamlessly online, is no easy task.
R: What features of R.A have you focused on, and what challenges did you face during development?
Ryu: We’ve focused on data verification and organization. Market participants use data for various purposes, so R.A doesn’t offer "special analysis."
Instead, we aim to provide data that helps users quickly understand and analyze the market in a simple, visual format.
As I mentioned, R.A is a comprehensive project, and we faced many challenges in standardizing data and organizing diverse market types. It was a long and difficult process.
R: What strengths does Rsquare have in delivering R.A better than others?
Ryu: It’s the result of bold investments. We have a dedicated research team that specializes in data collection, and we have experts who can implement this data on the web.
While this kind of research doesn’t produce immediate revenue, continuous investment made R.A possible.
About Kang-Min Ryu, Head of Rsquare Research Center
He served as the director of the Genstar Research Team, Mirae Asset Securities Real Estate Research Institute, Seville's Research Team, and Igis Asset Management Research Center.
The Ministry of Land, Infrastructure and Transport participated in the study of the real transaction price of non-apartments, the actual transaction price of Seoul housing, and the KB Housing Price Index. And instead of Aegis-Instead, I received an external reward from the Bank of Korea for developing the Seoul Office Sales Price Index.
I published a total of 32 academic journal papers in Scopus and the candidate sites for registration. I received the best citation and excellence award from the Korean Association for Real Estate Analysis, and the best and best thesis from the Korean Association for Real Estate Analysis.
I graduated from Hanyang University's Department of Urban Engineering. I'm a Ph.D. from the same graduate school.