Commercial real estate services firm RSQUARE said on the 1st that its data analytics platform, RSQUARE Analytics (RA), has surpassed 150 cumulative client companies. The platform is broadening its reach beyond finance and investment into a practical sales and strategy tool for industrial clients.
Trust and asset management firms account for 38% of RA's client base, financial companies 21%, and overseas and institutional investors 15%, bringing the combined share of finance, investment and asset management to 74%. Major users include the Government of Singapore Investment Corporation (GIC), DWS, PAG and Blackstone, along with leading domestic pension funds, KB Kookmin Bank, KB Asset Management, Mirae Asset Global Investments, Samsung Securities and Samsung Fire & Marine Insurance. The client list has recently expanded to include DB Insurance, Korea Investment Real Asset Management, ADF Asset Management, Hyundai Capital and Lotte Property & Development.
RA has been used mainly by financial institutions for investment reviews and asset management, but its applications have recently extended to non-real-estate manufacturing and industrial sectors, including electronics makers and large corporations. The platform links big data on more than 400,000 buildings, compiled through direct comprehensive surveys, with information tailored to each industry, helping companies pinpoint target buildings where demand for products such as elevators or parking systems is emerging and identify the optimal timing for sales approaches. By shifting prospect identification from on-site inspections and fragmented information to a data-driven approach, companies can analyze construction and contract histories from multiple angles and improve the accuracy of sales decisions.
An RSQUARE official said the company is expanding into a business-to-business (B2B) vertical data service that goes beyond simple property information lookups, providing information on potential clients by industry, sales timing and strategic decision-making, based on in-depth and differentiated commercial real estate (CRE) data.
