Customer CASE STUDY

How DEAS uses data to make better decisions in its space planning

"We were surprised by the data. Our data showed that there were enough meeting rooms; it was just that some were always in use while others were not used at all," continues Mie Møller.

DEAS Group, a leading real estate specialist and advisor in the Nordics, has been using data since 2020 to gain insights into how to design even better spaces for users of its buildings.

"In the past, we would create interior plans based on how we thought they would work. Now, we are able to not only gather data on how our space planning functions but also continuously change and optimize it," explains Mie Møller, Lead Architect for Space Planning at DEAS Group.

Mie continuously assesses and analyzes the latest data on the utilization of square meters with colleagues Martin Hansen and Mathias Kæmmer from the Energy Management & Data department.

People working in a room that is optimized with ubiqisense sensor
"In the past, we would create interior plans based on how we thought they would work. Now, we are able to not only gather data on how our space planning functions but also continuously change and optimize it."
explains Mie Møller, Lead Architect for Space Planning at DEAS Group

From expansion plans to optimization of existing spaces

"We were surprised by the data. Our data showed that there were enough meeting rooms; it was just that some were always in use while others were not used at all," continues Mie Møller.

A project that DEAS is currently working on is Flintholm Company House in Copenhagen, owned by pension fund PKA. The tenant expressed a desire for more meeting rooms, but instead of adding more square footage, DEAS started collecting data on how each room was utilized.

After a short period of data collection, DEAS realized that it wasn't a matter of needing square footage but rather a matter of optimizing the existing space.

Specifically, through their data, DEAS and Mie Møller demonstrated that there were specific days when meeting rooms were used more frequently than others and that the rooms farthest from employees' workstations were rarely utilized.

The data showed that:

Between 8-16, the meeting rooms were booked 28% of the time.

On average, there were 4 ½ persons in each room (with a room capacity of 10).

There is a correlation between the size of the room and the utilization rate.

The meeting rooms are most frequently used on Tuesdays and Thursdays.

People working in a room that is optimized with ubiqisense sensor

Utilizing spaces outside peak hours

DEAS doesn't only use data to make better decisions regarding space utilization but also creates more inspiring environments for employees. This is where the concept of "smarter square footage" comes into play.

"After Covid, remote work became the norm, and we were faced with the challenge of how to create an attractive office that would entice employees to come in and work," explains Mie Møller.

For most companies, it is typical that common areas, such as the cafeteria, are only utilized during peak hours. However, how can so many vacant spaces be used outside peak hours as well?

"We analyze our current layout. Can we redesign the cafeteria in a way that encourages informal meetings, for example?" she continues.

Data-driven space planning

"By examining each square meter, we ensure maximum utilization of the space. Insights come with responsibilities, and we possess a wealth of data that our investors can benefit greatly from. Data collection will only continue to play a larger role in our daily work."
A data-driven approach creates a stronger foundation for property development.e., as Mie Møller explains.

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