How Can We Help You?

Sector and market analytics

Driven by economists and leveraged by market makers.
CRE performance across major metros and asset classes. History and forecast by CBRE.

Thought leaders abound

Depth, breadth and rigor concentrated at all levels.
Synthesizing macro factors and leading indicators into actionable national, sector and market research.

Advantage is CBRE

Perspectives, scale and connections that work.
Commercial and cultural insight aligned with intellectual capital and experience to fuel informed real estate decision-making.

Which data are right for you?

Data views and extracts by scenario and on demand.
Check out the fundamentals, capital markets, and data tools now on our one-pager.

Experience the platform

See first hand why top institutional investors, direct lenders and private equity firms are clients.
Set a time that works for you.

Leverage CBRE's 
Live, Work, Play Index.


Econometric Advisors' blog

Data science has always been in the economist’s toolkit

Nov 9, 2017, 15:44 PM by Maximilian Saia

Big Data and Data Science came into vogue sometime in 2012. The New York Times published an article titled The Age of Big Data in February of that year. In October 2012, Harvard Business Review published Data Scientist: The Sexiest Job of the 21st Century.

The articles’ central themes proved to be broadly accurate. We are creating more data than ever before; by 2020, more data will be created in a single day than in all of 2010. Employers across a variety of industries are hiring data scientists in record numbers to process and make sense of the massive volumes of data being generated by their operations.

But “Data Science” has been around much longer than recent buzz suggests. First with regression analysis and then econometrics—an indispensable and sizeable part of the Machine-Learning (ML) universe—the original data scientists, economists, have been at the table for decades. And at its founding as Torto Wheaton Research back in 1982, CBRE Econometric Advisors (CBRE EA) was almost certainly the first data science shop specific to commercial real estate (CRE).

Today, as the quality of the data we analyze improves and its quantity increases, at CBRE EA, we are expanding the toolkit of ML techniques that we use to drive insight about asset performance and advise our clients.

Our Live Work Play Index (LWP) is a recent example. Using sophisticated ML techniques, CBRE EA is able to spot pockets of potential investment opportunity in markets across the country by getting far more granular and specific than does traditional submarket-level analysis. Below is a link to a presentation given at ULI’s Fall 2017 meeting in Los Angeles. It provides an overview of big data in CRE, and examples of how LWP can be used to find pockets where assets are likely to outperform, as well as how to leverage LWP to spot up-and-coming areas for investment and development.

Download Presentation


Ready to Get Started?

60 second demos.


Experience the platform.


Become a client.


Global Research Tools

redirect pin user minus plus fax mobile-phone office-phone data envelope globe outlook retail close line-arrow-down solid-triangle-down facebook globe2 google hamburger line-arrow-left solid-triangle-left linkedin play-btn line-arrow-right solid-triangle-right search twitter line-arrow-up solid-triangle-up calendar globe-americas globe-apac globe-emea external-link music picture paper pictures play gallery download rss-feed vcard