▶ Supports customized lookup by alternative asset types, including data centers, hotels, and knowledge industry centers
▶ Integrates LEED certifications and real Cap Rates… sophisticatedly advancing ESG and investment analysis modules
▶ Combines corporate profiles and delivers latest permit/licensing intelligence; commercial district analysis feature slated for second half
RSQUARE (CEO: Lee Yong-gyun) has drastically strengthened the functionalities of its commercial real estate data analytics platform, 'RA (RSQUARE Analytics).' This latest update focuses heavily on enhancing the methodology through which users retrieve and analyze data during investment reviews, ESG screenings, and market monitoring processes.
RA is an institutional-grade commercial real estate data platform that delivers intelligence on rental rates, vacancy rates, and actual transaction records for offices and logistics centers, backed by a robust database of over 400,000 buildings. Its primary clientele encompasses asset management firms, securities houses, banking institutions, construction companies, and private equity investment firms.
Expanding Analytical Boundary into Alternative Assets, Developments, and Permitting Data
The most prominent transformation in this update is the enhanced data accessibility. By freshly deploying a real estate asset-type filter to the public data and licensing/permitting lookup features, users can selectively filter and retrieve only their desired asset classes—extending beyond conventional offices and logistics warehouses to include data centers, knowledge industry centers, hotels, and officetels.
The asset classification methodology has also been uniquely differentiated. Instead of blindly applying the official usages stated on public building registries, RA integrated its proprietary classification framework that comprehensively parses the building's primary usage, secondary usages, floor-by-floor utilization and net area, property name, and gross floor area (GFA). By categorizing assets based on practical attributes utilized within the actual investment market, alternative asset investors can unearth necessary intelligence with far greater efficiency.
Information regarding development projects has been heavily reinforced as well. Through the newly implemented 'Latest Updates' menu, users can track recently completed or licensed/permitted assets categorized by type. Because development and permitting data—refreshed on a monthly cycle—can be verified without separate manual searches, it is highly anticipated to command exceptional utility during the initial underwriting and preliminary review phases for investors, developers, and asset managers.
Analytical features that blend corporate profiles with real estate data have also scaled out. RA recently introduced a corporate data module that provides financial statements, corporate registry details, and public disclosure files for approximately 2.5 million companies. Users can now simultaneously analyze the exact buildings occupied by specific corporations, industrial sector distributions by business district, and the financial health of core tenants alongside conventional property metrics. The tedious process of navigating back and forth across multiple disparate software services to verify tenant credit risks can now be seamlessly processed entirely within a single platform.
Introducing LEED and Real Cap Rates… Sophisticating Investment Analytics Features
The platform’s ESG and investment analytics functionalities have been elevated to a whole new level. Supplementing G-SEED, the pre-existing domestic green building certification database, RA now freshly delivers comprehensive data on LEED, the premier global certification framework. Because certification statuses and specific tiers can be cross-verified directly via property filters and granular asset profile pages, investment review tracks aligned with institutional ESG mandates are projected to become substantially smoother.
Metrics utilized to evaluate investment profitability have been sophisticated as well. Supplementing the conventional 'Nominal Cap Rate,' RA freshly delivers the 'Real Cap Rate.' This metric is calculated by strictly factoring in deposit interest earnings, rent-free concessions, maintenance fee revenues, and localized vacancy rates. For properties where asset-specific data is absent, the system dynamically applies the regional 3-year historical average data and submarket vacancy rates. Consequently, institutional investors can now utilize profitability indices that mirror the actual market environment, transcending superficial facial yields.
Scaling Out Comparative Analysis Modules… Commercial District Analytics Feature Slated for Second Half
User interface and convenience optimizations have also been executed. When searching for offices and logistics warehouses, users can now select and cross-compare multiple submarkets simultaneously. Within corporate directories, granular location metrics including exact floor numbers and suite units are now provided.
RSQUARE plans to incrementally expand its data analytics capabilities, with a primary focus on deploying a commercial district analysis feature within the second half of this year. Currently, RA is rapidly widening its subscriber base—anchored by asset management firms, securities houses, financial institutions, and global sovereign wealth/investment funds—while continuously sophisticating its analytical services that synthesize corporate profiles with deep real estate data.
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▶ Supports customized lookup by alternative asset types, including data centers, hotels, and knowledge industry centers
▶ Integrates LEED certifications and real Cap Rates… sophisticatedly advancing ESG and investment analysis modules
▶ Combines corporate profiles and delivers latest permit/licensing intelligence; commercial district analysis feature slated for second half
RSQUARE (CEO: Lee Yong-gyun) has drastically strengthened the functionalities of its commercial real estate data analytics platform, 'RA (RSQUARE Analytics).' This latest update focuses heavily on enhancing the methodology through which users retrieve and analyze data during investment reviews, ESG screenings, and market monitoring processes.
RA is an institutional-grade commercial real estate data platform that delivers intelligence on rental rates, vacancy rates, and actual transaction records for offices and logistics centers, backed by a robust database of over 400,000 buildings. Its primary clientele encompasses asset management firms, securities houses, banking institutions, construction companies, and private equity investment firms.
Expanding Analytical Boundary into Alternative Assets, Developments, and Permitting Data
The most prominent transformation in this update is the enhanced data accessibility. By freshly deploying a real estate asset-type filter to the public data and licensing/permitting lookup features, users can selectively filter and retrieve only their desired asset classes—extending beyond conventional offices and logistics warehouses to include data centers, knowledge industry centers, hotels, and officetels.
The asset classification methodology has also been uniquely differentiated. Instead of blindly applying the official usages stated on public building registries, RA integrated its proprietary classification framework that comprehensively parses the building's primary usage, secondary usages, floor-by-floor utilization and net area, property name, and gross floor area (GFA). By categorizing assets based on practical attributes utilized within the actual investment market, alternative asset investors can unearth necessary intelligence with far greater efficiency.
Information regarding development projects has been heavily reinforced as well. Through the newly implemented 'Latest Updates' menu, users can track recently completed or licensed/permitted assets categorized by type. Because development and permitting data—refreshed on a monthly cycle—can be verified without separate manual searches, it is highly anticipated to command exceptional utility during the initial underwriting and preliminary review phases for investors, developers, and asset managers.
Analytical features that blend corporate profiles with real estate data have also scaled out. RA recently introduced a corporate data module that provides financial statements, corporate registry details, and public disclosure files for approximately 2.5 million companies. Users can now simultaneously analyze the exact buildings occupied by specific corporations, industrial sector distributions by business district, and the financial health of core tenants alongside conventional property metrics. The tedious process of navigating back and forth across multiple disparate software services to verify tenant credit risks can now be seamlessly processed entirely within a single platform.
Introducing LEED and Real Cap Rates… Sophisticating Investment Analytics Features
The platform’s ESG and investment analytics functionalities have been elevated to a whole new level. Supplementing G-SEED, the pre-existing domestic green building certification database, RA now freshly delivers comprehensive data on LEED, the premier global certification framework. Because certification statuses and specific tiers can be cross-verified directly via property filters and granular asset profile pages, investment review tracks aligned with institutional ESG mandates are projected to become substantially smoother.
Metrics utilized to evaluate investment profitability have been sophisticated as well. Supplementing the conventional 'Nominal Cap Rate,' RA freshly delivers the 'Real Cap Rate.' This metric is calculated by strictly factoring in deposit interest earnings, rent-free concessions, maintenance fee revenues, and localized vacancy rates. For properties where asset-specific data is absent, the system dynamically applies the regional 3-year historical average data and submarket vacancy rates. Consequently, institutional investors can now utilize profitability indices that mirror the actual market environment, transcending superficial facial yields.
Scaling Out Comparative Analysis Modules… Commercial District Analytics Feature Slated for Second Half
User interface and convenience optimizations have also been executed. When searching for offices and logistics warehouses, users can now select and cross-compare multiple submarkets simultaneously. Within corporate directories, granular location metrics including exact floor numbers and suite units are now provided.
RSQUARE plans to incrementally expand its data analytics capabilities, with a primary focus on deploying a commercial district analysis feature within the second half of this year. Currently, RA is rapidly widening its subscriber base—anchored by asset management firms, securities houses, financial institutions, and global sovereign wealth/investment funds—while continuously sophisticating its analytical services that synthesize corporate profiles with deep real estate data.