From our Content Contributor Partner, Appspace.
Real estate is one of the largest line items on any corporate balance sheet. Yet many of the decisions that govern it – how much space to keep, which leases to renew, where to consolidate – are still being made using instincts dressed up as data.
The problem isn't a shortage of information. Most organizations have more than they know what to do with. It’s that that the data CRE teams rely on most answers the wrong question. Occupancy rates, badge scans, and quarterly utilization reports tell you how many people came into the office, but they can’t tell you what those people did while they were inside.
Occupancy vs. utilization
An occupancy rate tells you that 60% of your desks were in use on Tuesday. What it can’t tell you is whether those desks were occupied for one hour or eight hours; which collaboration zones saw use; or which meeting rooms were booked for ten people but used by only two. Real estate budget quietly vanishes into gaps like these.
Teams need to build an understanding of where people go in a building, how long they stay, and what kind of work they’re doing. When you have that knowledge, you can make defensible portfolio decisions backed by evidence and quantified trade-offs.
There’s also a meaningful difference between generating space data and acting on it. If a team is in a passive data stance, they only check dashboards when they receive complaints, and decisions are made based on the loudest voice in the room.
The solution isn’t anything exotic. It’s overlaying existing infrastructure with data to build a more complete picture of space usage. What you need is already there; it just isn’t connected.
My colleague Kanav Dhir at VergeSense describes the goal as “continuous intelligence.” It’s a live model of how spaces perform, how demand shifts, and what scenarios will look like before you commit to them. Showing your CFO a live look at usage instead of an outdated consulting report puts you in a fundamentally stronger position.
Build data into budget conversations
This has implications for how CRE functions relate to corporate strategy. Cost reduction has historically dominated the CRE priority list, even as talent consistently tops the CEO's agenda. Better space intelligence is part of how those two priorities converge. When CRE leaders can connect real estate decisions to measurable outcomes, like productivity, collaboration, and retention, occupancy cost and talent strategy stop pulling in opposite directions.
The teams making the most progress in this area have learned to translate space data into language leadership responds to. Scenario modeling does this better than dashboards. It gives answers to the sort of questions that leadership is asking: what are our options? What does each one cost? What are we giving up if we choose this direction?
For example, let’s look at HVAC optimization. When occupancy data feeds directly into building management systems, heating and cooling can adjust based on actual usage rather than fixed schedules. It's a specific, value-backed win that sets up a broader case for space intelligent investments.
Reframe the office as a strategic asset
For a long time, CRE’s job was managing costs. It’s now about managing outcomes – namely, using data to connect real estate decisions to the business goals they're supposed to serve.
The office isn't just a cost center. For organizations competing seriously for talent in a hybrid environment, it's an asset that has to earn its attendance and justify its budget at the same time. That's a harder job than it used to be. It's also a more influential one.
Most of the information needed to do it well already exists inside your building. The question is whether it's being connected – and whether your team is using it to just document decisions, or to drive them.
