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In today’s world, data is everywhere, and the real estate industry is no exception. From transactional data to property information, the amount of data available can be overwhelming. However, data is only as good as the insights it can provide, and that’s where data visualization comes in. Data visualization is the art of representing data
The real estate industry has always been a data-driven industry, with property data being one of the most valuable assets for any real estate company. However, with the growth of Big Data technology, the real estate industry is now being transformed like never before. Springbord is at the forefront of this transformation, leveraging the power
People sell their houses for a wide variety of reasons, including the inability to accommodate a growing family, the necessity to move to a different city or state for a new profession, or a desire for a lifestyle change. If you’re selling your home, whether for financial or emotional reasons, you’re probably like everyone else
Property intelligence data and platforms can be used remotely to assess, study and understand property attributes by real estate stakeholders, financial institutions, and other insurance companies. Did you know that property intelligence can usher companies in precisely assessing property valuation and risk? This blog sheds light on property intelligence, how it is helping in the
These days, data is immensely contributing to the growth of many organizations, and the real estate sector is undoubtedly one of them. Digital data is taking companies on the path to growth and success. Realtors, investors, and buyers see data as a critical asset since it assists in innovation, decision-making, and enhancing customer experience. With
The real estate industry has historically relied on a variety of traditional and retrospective data to make business decisions. But today, thanks to the influx of structured and unstructured data, real estate players have the ability to gain greater insights into market trends, risks, and opportunities. While demand for real estate data is constantly on