A structural problem is hiding in plain sight across commercial real estate portfolios: asset managers are making critical decisions on net operating income (NOI), insurance renewals, utility spend, and occupancy trends with incomplete, delayed, or vendor-controlled data, according to Bill Douglas, CEO of OpticWise, a commercial real estate digital infrastructure firm.
Douglas, who has spent over a decade auditing properties, observes that property owners invest in systems and collect data but then never use it. The standard monthly or quarterly summary report from property management systems shows leasing data, rent rolls, and basic financial KPIs, but it does not include operational data behind the numbers—such as lighting control system performance, HVAC demand trends, or access control logs that reveal space utilization. Properties send management only what they are asked for, and asset managers often do not know what else to request, measuring outcomes without seeing the inputs that drive them.
Douglas identifies three major expense and revenue drivers that asset managers consistently lack visibility into: utilities, insurance, and occupancy. On utilities, the challenge is understanding the demand curve; without knowing when large motors draw peak power or the utility rate structure, reducing bills becomes guesswork. On insurance, most owners enter annual renewal reviews without a coherent data package; properties that can demonstrate standard operating procedures backed by system logs present a lower risk profile to underwriters, but most cannot produce such documentation. On occupancy, property management systems show lease rates but cannot reveal underutilized areas, gym usage patterns, or parking demand—all revenue and experience drivers that remain invisible to portfolio decision-makers.
When ownership groups recognize a data gap, the typical response is to hand the problem to an IT manager, property manager, or asset manager—none of whom are suited to the task. IT managers focus on information technology, not operational technology; property managers are hired to lease space, not manage data; and asset managers are financial analysts, not data engineers. Douglas argues that 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 existing data—what exists, where it lives, and who has access—what Douglas calls a data and digital infrastructure audit. The process should be sequential, focusing on high-value targets for improved visibility. For example, one client had a lighting control system that was never activated; after OpticWise completed the audit and turned it on, the property saved $70,000 in 12 months on electricity without new hardware. The same logic applies to dynamic parking pricing, sub-metering, leak detection, and HVAC demand management—all require data that is already being generated but not captured.
The cost of inaction is substantial. 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 commercial real estate owners in 2026 facing only 1 percent rent growth, the path to value creation runs through optimization, which requires data most portfolios still lack. Owners who address the data gap now can improve NOI without waiting on market conditions; those who do not are leaving income on the table year after year.
