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Bridging the gap between standards and practice in global lease data abstraction

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  • Somani, Abhinav

Abstract

Lease abstraction and extraction are becoming increasingly complex, while demands are rising for better data quality for portfolios of leases in multiple countries or asset types. Several organisations, including OSCRE, have been building data standards for lease abstraction over the past years in a bid to address the emerging needs of the industry. These organisations have been at the forefront of development and implementation of real estate information exchange standards, including those for commercial real estate. This paper looks at the future of data standards for lease abstraction and trends driving the industry towards a standard data model, its advantages and the challenges that hinder lease abstraction standardisation, and how standard data models can support new and emerging use cases.

Suggested Citation

  • Somani, Abhinav, 2019. "Bridging the gap between standards and practice in global lease data abstraction," Corporate Real Estate Journal, Henry Stewart Publications, vol. 8(4), pages 307-311, June.
    • Handle: RePEc:aza:crej00:y:2019:v:8:i:4:p:307-311
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    More about this item

    Keywords

    lease abstraction; lease abstracting; lease extraction; data standards; standard data model; international lease portfolio; artificial intelligence; machine learning;
    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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