IDEAS home Printed from https://ideas.repec.org/a/aza/crej00/y2020v9i4p317-331.html
   My bibliography  Save this article

Data: Unlocking hidden insight and value across dynamic real estate portfolios

Author

Listed:
  • Patten, Jarrod M.

    (Founder, RRG, USA)

Abstract

Data has revolutionised, and continues to revolutionise, all industries. Commercial real estate is no different. While some would argue that the industry is late to the data game, meaningful runway still remains. The data ponds associated with an organisation’s real estate portfolio are some of the most abundant sources of insight and value when data is captured, managed and assessed successfully. An ability to aggregate, store, combine and evaluate multi-sourced and multi-layered datasets is transformative. Such capability when coupled with predictive and prescriptive analytics tools and policies, is an accelerant for corporate efficiency and profitability. Data is the universal enabler of value when harnessed and leveraged effectively. Heightened precision produces powerful insights which drive agile decision-making. This paper discusses how utilising the right data combinations at the right time and in the right way will inform judgment and unlock unprecedented value throughout all levels of a corporation.

Suggested Citation

  • Patten, Jarrod M., 2020. "Data: Unlocking hidden insight and value across dynamic real estate portfolios," Corporate Real Estate Journal, Henry Stewart Publications, vol. 9(4), pages 317-331, June.
  • Handle: RePEc:aza:crej00:y:2020:v:9:i:4:p:317-331
    as

    Download full text from publisher

    File URL: https://hstalks.com/article/5642/download/
    Download Restriction: Requires a paid subscription for full access.

    File URL: https://hstalks.com/article/5642/
    Download Restriction: Requires a paid subscription for full access.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Keywords

    enterprise value creation; spend optimisation; proprietary insight; analytics; portfolio data; alignment; strategy; informed/enhanced judgment; operational differentiation; sustainable savings;
    All these keywords.

    JEL classification:

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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aza:crej00:y:2020:v:9:i:4:p:317-331. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Henry Stewart Talks (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.