Commercial real estate asset managers routinely make decisions about net operating income, insurance renewals, utility spend, and occupancy trends with incomplete or delayed data, even though the operational data that drives those outcomes already exists within their buildings, according to Bill Douglas, CEO of OpticWise, a commercial real estate digital infrastructure firm.
Douglas, who has spent more than a decade auditing properties, identifies a structural problem: property owners invest in systems and collect data but never use it. The standard monthly or quarterly summary report from property management systems shows leasing data, rent rolls, and basic financial KPIs but omits operational data behind the numbers. "Properties send management what they are asked for – nothing more," Douglas said. Asset managers measure outcomes without seeing the inputs that drive them, such as how the lighting control system operates, how air conditioning demand trends, or what access control logs reveal about space utilization.
Douglas points to three major expense and revenue drivers where asset managers lack visibility: utilities, insurance, and occupancy. On utilities, understanding the demand curve is critical. Without knowing when large motors draw peak power or the utility rate structure, reducing the bill becomes guesswork. On insurance, most owners enter annual renewal reviews without a coherent data package. A property that can demonstrate standard operating procedures backed by actual system logs presents a different risk profile to underwriters. On occupancy, property management systems show lease rates but cannot reveal underutilized areas, gym usage patterns, or parking demand variation – all revenue and experience drivers.
When ownership groups recognize the data gap, they often hand the problem to the IT manager, property manager, or asset manager, but none are suitable. IT managers focus on information technology, not operational technology. Property managers are hired to lease space, not manage network architecture. Asset managers are financial analysts, not data scientists. Douglas argues the wrong people are being asked to do the right tasks, so audits never happen, data remains inside vendor systems, and recoverable income flows away from owners.
A practical data strategy starts with an honest inventory of what data exists, where it lives, and who has access – a data and digital infrastructure audit. Then, identify which systems generate data that nobody collects and which represent high-value targets. For example, a client had a lighting control system installed but never activated. After OpticWise completed the audit and turned it on, the property saved $70,000 in 12 months on electricity alone, with no new hardware or capital outlay. The same logic applies to dynamic parking pricing, sub-metering, leak detection, and HVAC demand management.
The cost of inaction is significant. A 400-unit apartment portfolio that could generate an additional $500 per door per year in NOI is passing on $200,000 annually. An office building with 250,000 rentable square feet that could recover 50 cents per square foot is forgoing $125,000. With 2026 commercial real estate owners facing only 1 percent rent growth, the path to value creation runs through optimization, and optimization requires data most portfolios still do not have. Owners who address the data gap now can act on cost recovery, renegotiate insurance terms, and improve NOI without waiting on market conditions.
