Walk into the mechanical room of almost any commercial property built in the last decade and you will find something remarkable: a dense network of systems generating continuous operational data. HVAC units, lighting controllers, access control panels, parking meters, leak detection sensors – all producing information around the clock.
Now ask who is reading that data. In the overwhelming majority of cases, the answer is nobody. The data is being captured by vendors, stored in vendor-managed platforms, and used – if at all – by those vendors for their own purposes. The property owner, who legally owns the data, cannot access it, analyze it, or use it to make better decisions.
This is the core argument Bill Douglas, CEO of OpticWise, has been making since the firm began focusing exclusively on multi-tenant commercial real estate more than a decade ago. His book Peak Property Performance, published by Fast Company Press, starts from a single premise: you cannot optimize what you cannot see. And most commercial real estate operators simply cannot see their own buildings.
The Vendor Data Problem Nobody Talks About
Commercial real estate has a long-standing and largely unexamined habit of handing over its data infrastructure to vendors. An owner hires one firm to install a network, another for HVAC controls, another for access management, another for parking. Each vendor delivers a working system. Each vendor keeps the operational data in their own cloud environment.
The owner can log into each platform individually and pull a report. What they cannot do is run analysis across all of those systems simultaneously, look for correlations between them, or build a predictive model based on combined data sets. The data exists – it just does not belong to them in any practical sense.
As Douglas puts it: “If you are not using your data, somebody else is. And it should offend you. Because it is your building, your tenants, and your data.”
This is not a technology limitation. The systems are already installed. The data is already flowing. The missing piece is ownership – a deliberate strategy to collect, centralize, and act on operational data rather than leaving it distributed across a dozen vendor platforms.
What Happens When You Turn the Data On
The results from properties that have addressed this are concrete. One example: a commercial office building had a lighting control system installed during construction six years earlier that had never been activated. When the audit was completed and the system turned on, the property reduced its electricity bill by $70,000 in the following 12 months. The hardware was already there. The savings had been sitting dormant.
This is not an unusual finding. Across audits OpticWise’s team has conducted, the pattern repeats consistently – systems installed but not activated, networks running in parallel without anyone aware of the duplication, expenses accruing for months or years on subscriptions tied to systems nobody was using, and most importantly: no client access to their own data.
Sub-metering provides another example. In a mixed-use building with a call center operating around the clock alongside a dental office with standard weekday hours, shared utility costs were being split evenly. Sub-metering – installing meters that measure consumption by tenant – allowed billing to reflect actual usage. The call center paid more, the dental office paid less, and the property owner had documentation to support both. The data made the conversation possible.
The $500 Per Door Opportunity
For multifamily properties, Douglas points to a specific benchmark that consistently surprises owners: $500 per door per year in additional net operating income. This is income, not revenue. It represents the compound effect of reduced utility expenses, better insurance positioning, lower tenant churn, and optimized amenity and parking revenue.
For a 100-unit building, that is $50,000 in annual NOI. For 400 units, it is $200,000. The impact on property valuation – given that commercial real estate is valued largely on income multiples – is substantially larger than the income figure itself.
On the office side, the equivalent metric is 60 to 90 cents per rentable square foot. For a 200,000 square foot building, that range represents $120,000 to $180,000 in annual income.
What is notable about these numbers is that they do not require significant capital investment. They require data access and a methodical approach to acting on what the data reveals. The investment is in infrastructure ownership and the audit process. The return comes from optimizing what already exists.
Why Most Properties Are Not Doing This
Status quo bias is the primary barrier. Properties are generating revenue, owners are busy doing deals, and the buildings work. A detailed data and digital infrastructure audit can feel like a distraction from the core business.
There is also a skills mismatch. The people who could theoretically manage this work – property managers, IT managers, asset managers – are not trained for it and are already at capacity with their existing responsibilities. Asking a property manager to also serve as a data architect is not a viable strategy. It just means the work does not get done.
Douglas draws a direct analogy: “You would not ask your running back to play middle linebacker. They can stand in the position, but they are not going to perform the role at the level you need. The skill sets are different. The training is different. The outcomes reflect that.”
The solution is not to build an entirely new internal team. It is to recognize that digital infrastructure and data strategy is a specialized function – one that requires dedicated expertise, not a responsibility added to someone else’s already full plate.
A Framework for Getting Started
For owners who want to move from reactive operations to data-driven management, Douglas recommends a sequential approach rather than an all-at-once overhaul.
The first step is a data and digital infrastructure audit: a systematic review of what systems exist, what data they generate, who currently has access to it, and what is being wasted or duplicated. This audit is the prerequisite for everything that follows.
From there, the priority list is built on three criteria: lowest out-of-pocket cost, fastest time to results, and highest long-term value. Starting with quick wins builds internal confidence and demonstrates ROI before larger investments are made.
Over six to nine months of consistent data collection, the foundation for predictive analysis begins to form. Machine learning applied to that data set can surface patterns a human analyst would not find manually. The technology is not complicated. The prerequisite is owning the data in the first place.
For owners still weighing whether to act, the framing Douglas returns to is straightforward: digital infrastructure is not an expense – it is an investment, and it should generate income. If it is not, something is wrong. And it can be changed.
OpticWise is a commercial real estate data & digital infrastructure firm helping CRE property owners own, manage, and monetize their building data and digital assets. OpticWise serves middle-market commercial real estate owners across multifamily and office sectors in the United States. Bill Douglas, CEO, is the co-author of Peak Property Performance, published by Fast Company Press.
This article is based on information provided by the expert source cited above. It is intended for general informational purposes only and does not constitute legal, financial, or real estate advice. Readers should conduct their own research and consult qualified professionals before making any real estate or financial decisions.
