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Category: Data Services

Real Estate Multiple Listing Service
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Wednesday, 07 September 2022 / Published in Data Services, Real Estate
Benefits and Drawbacks of Using a Real Estate Multiple Listing Service
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
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A-Brief-on-Property-Intelligence-and-its-Role-in-Measuring-Valuation-and-Risk
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Friday, 08 July 2022 / Published in Data Services, Real Estate
A Brief on Property Intelligence and its Role in Measuring Valuation and Risk
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
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Wednesday, 15 June 2022 / Published in Data Services, Real Estate
Role of Data in the Real Estate Industry
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
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Top 4 benefits of outsourcing real estate data services
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Wednesday, 03 March 2021 / Published in Data Services, Real Estate
Top 4 benefits of outsourcing real estate data services
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
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