Big data is enhancing flexible work space aggregators

This article was written and published in Spanish and has been translated into English via Google Translate. Click here to read the original article.

The company has acquired Teem, a tool that analyzes the reservations of meeting rooms, and Euclid, an application that tracks the signal from smartphones, to improve office efficiency.

How do workers move in offices? Do companies adequately optimize meeting rooms? These are two of the questions that WeWork wants to answer. Through technology and big data, the company is collecting and analyzing information about the movement of people and how they operate within the workspaces to make the offices of the future more efficient, according to Bloomberg.

In the last year, WeWork has acquired Teem, a software manufacturer that analyzes the reservations of conference rooms, and also Euclid, a service that tracks smartphones in commercial spaces. The consultant and operator of coworkings, in addition, is testing several types of sensors, thermal and movement, to analyze how workers try to use a workspace and how they actually use it.

The company is testing all of these tools with its own employees in San Francisco and New York and, on the other hand, it has also conducted several pilot tests for some of its customers. WeWork has collected data to improve the efficiency of existing offices and to optimize the redesign and construction of the new workspaces.

So, for example, a New York law firm commissioned WeWork to study whether their meeting rooms needed more space. The company placed sensors under the table, to count how many people and how long they were present in the room. The conclusion was that the meeting spaces had to be smaller because they were rarely full. The company ensures that all data processed is anonymous and safe.

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