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New Technology and Data in Real Estate Education

Author

Listed:
  • Henri Vuong
  • Vitaliy Tonenchuk
  • Edgar Orlovskis
  • Ivaylo Stoyanov
  • Rui Mendes
  • Jose Ramon
  • Monsalve Linares

Abstract

Ten years on from the global financial crisis and the non-listed real estate industry continues to evolve. Both players and products have continued to adapt to keep pace with the needs of the increasingly sophisticated approach to real estate investment decision making. Aided, especially of late, by the growing availability of information and data being aptly hailed as the hot commodity.In the past, the real estate industry has primarily worked with data within proprietary software such as Excel, Argus, etc and with minimal transparency. However, with the increasing demand for more transparency, accessibility, and the will to extract more insights out of the data, the approach to data and technology in the Real Estate industry has been changing.This has led to greater standardisation in the data and methodologies used to extract information out of it. Organisations are going through rapid changes in the way data is collected, processed, and shared. Collaborative tools are on the rise, such as INREV’s online analysis tools.At the same time, security and privacy concerns have also increased and have also come under increased regulatory scrutiny. Regulations such as the EU GDPR has brought important measures to protect the collection, handling, and processing of sensitive data.Over the last 15 years, INREV has answered to the needs of the European non-listed real estate industry through global standards, a suite of market data and distribution. The underlying foundation for these activities is a set of software tools to enable data collection, validation and storage in a secure environment. INREV’s rapidly growing suite of data is providing new opportunities for research and analysis in areas previously unexplored, thus enabling the next wave of education in the private real estate industry.This presentation will provide participants with an understanding of the data practices of the European Association for Investors in Non-Listed Real Estate Vehicles as well as provide inspiration for future research opportunities.

Suggested Citation

  • Henri Vuong & Vitaliy Tonenchuk & Edgar Orlovskis & Ivaylo Stoyanov & Rui Mendes & Jose Ramon & Monsalve Linares, 2019. "New Technology and Data in Real Estate Education," ERES eres2019_142, European Real Estate Society (ERES).
  • Handle: RePEc:arz:wpaper:eres2019_142
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    More about this item

    Keywords

    Data; regulation; Security; Technology; Transparency;
    All these keywords.

    JEL classification:

    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location

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