A WHITE PAPER published by the NAIOP Research Foundation titled “The Office Property and Big Data Puzzle: Putting the Pieces Together” found that office building owners are capturing, storing and analyzing data to operate building systems but not to recruit and retain tenants.
Researcher Kimberly Winson-Geideman, Ph.D., a senior lecturer at the University of Melbourne in Parkville, Victoria, Australia, reviewed literature and questioned property professionals. While virtually all noted that security, elevators and HVAC systems have been digitally tracked, operated and optimized for years, most are exploring but not yet implementing the notion of tracking the paths people take and the places they congregate on property grounds or inside buildings.
Privacy issues emerged as the main reason tenant information is not collected, but lack of clarity about what to do with data once it is captured was also a factor.
The paper noted “it is important to understand the difference between tracking the number of people moving through a building and tracking their identities.” In retail settings where an individual can access public Wi-Fi or download a shopping center app using an email address, a partial or even full identity may be captured and tracked. This practice was not found to be widespread in office buildings.
Big data is defined as high-volume, high-variety and high-velocity information that is produced in either structured (e.g., predictable formats such as sensor data) or unstructured (e.g., pictures, text) formats. The sheer influx of big data can be overwhelming for many companies; they often choose to sit on the data they collect with no concrete plans to use it. Therefore, some firms, particularly those without the resources to sift through large amounts of data, risk missing valuable information that could improve their bottom line and position them favorably in an increasingly competitive market.
Although much of the big data now being collected by office landlords fails to trigger any privacy issues (e.g., building systems data), disclosure and permission are advised in some instances, such as cases where a landlord is monitoring tenant movements using Wi-Fi. Because of these complex issues surrounding personal data, landlords and tenants should approach data collection with a clear understanding of privacy laws and a great deal of transparency.
In regard to office properties, big data’s usefulness can be categorized into two interrelated areas: 1) how big data improves a building’s operational efficiencies; and 2) how landlords can use big data effectively to attract and retain tenants. To gain a deeper perspective on this topic, the author questioned seven office property management professionals — representing a real estate services company in Minneapolis and a development company in Dallas — to find out if and how they collect and analyze big data in their buildings. Specifically, were they using big data to improve operational efficiencies, attract tenants or both?
The author’s conversations with property managers confirm literature and media accounts of how the large amounts of digital data generated within office buildings are used: primarily for analyzing building systems and improving operational efficiencies. The conversations indicate that there is interest in using Wi-Fi, beacons and sensors for: 1) tracking where people go and gather in buildings to improve the type and location of amenities in office buildings; 2) allowing tenants to more efficiently track and manage their own energy use; and 3) providing building navigation through smartphones. However, privacy issues and data management are obstacles that have hindered widespread collection of tenant data.
Several critical takeaways presented in this report deserve the attention of the real estate industry in general and the office sector in particular:
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To view and download “The Office Property and Big Data Puzzle: Putting the Pieces Together,” visit www.naiop.org/bigdata