Your Building Is Producing Thousands of Data Points Every Day. Most Owners Never Use Them
- Mar 19
- 3 min read

Why operational data may be the most underutilized asset in modern building management
Modern buildings generate an enormous amount of operational data.
Building automation systems continuously monitor temperatures, airflow rates, equipment runtimes, pump speeds, pressure levels, and energy consumption across dozens or even hundreds of systems. Every minute of operation creates new information about how a building is performing.
Yet in many portfolios, this data is rarely analyzed beyond basic monitoring.
For building owners and operators, this represents a missed opportunity. Operational inefficiencies that quietly inflate energy costs often persist for years simply because no one is looking closely enough at the data already available.
Industry studies consistently show that many buildings operate well below their potential efficiency. Research from the U.S. Department of Energy and other energy agencies indicates that improved operational practices and continuous commissioning can reduce energy use in commercial buildings by 10 to 20 percent without major capital investment [1].
For large portfolios, that gap translates directly into operating expense.

Data without analysis creates blind spots
Most large buildings already have sophisticated building automation systems. These systems were designed to maintain comfort, manage equipment operation, and track system performance.
However, in many cases the data generated by these systems is underutilized.
Operators may monitor alarms or check system status, but deeper performance analysis rarely occurs. Without systematic review of trend data, inefficiencies can remain hidden in plain sight.
Examples commonly found in building operations include:
Ventilation systems operating at constant airflow regardless of occupancy
Boilers running at fixed temperatures during mild weather
Simultaneous heating and cooling in shoulder seasons
Equipment running outside scheduled occupancy hours
Pumps and fans operating at higher speeds than necessary
Each of these conditions may appear minor in isolation. Over time, however, they compound into meaningful energy waste.
The financial impact of operational drift
Mechanical systems rarely remain perfectly tuned over long periods of operation.
Sensors drift. Control sequences change. Equipment upgrades occur without revisiting system logic. Building usage patterns evolve.
Without ongoing analysis, systems gradually move away from their intended performance.
This phenomenon, often referred to as operational drift, can quietly increase energy consumption over time. Studies examining building performance have found that ongoing monitoring and commissioning can identify operational improvements that deliver significant energy savings across commercial portfolios [2].

“Most buildings already have the information needed to improve performance,” said Trevor Shaw, Chief Operations Engineer, NERVA Energy. “The challenge is turning that information into operational insight.”
Data-driven optimization
The emergence of building analytics and advanced monitoring tools is helping operators convert raw operational data into actionable insight.
By analyzing trends in temperature, airflow, energy consumption, and equipment performance, operators can identify patterns that reveal inefficiencies.
For example, data analysis may reveal that:
Ventilation systems run at full capacity even when occupancy is low
Chilled water supply temperatures remain fixed despite outdoor conditions
Equipment stages inefficiently during partial loads
Heating and cooling systems operate simultaneously during mild weather
Once identified, these inefficiencies can often be corrected through control adjustments rather than equipment replacement.

“Data allows operators to see how systems actually behave over time,” said Josh Lewis, Chief Technical Engineer, NERVA Energy. “When you understand those patterns, optimization becomes far more precise.”
From reactive operations to performance management
For many years, building operations focused primarily on responding to alarms and maintaining occupant comfort.
Today, operational strategy is evolving toward performance management.
Rather than waiting for equipment failures or tenant complaints, operators increasingly use data to continuously evaluate system performance. This approach allows inefficiencies to be identified and corrected before they materially affect operating costs.
In an environment where energy prices remain volatile and operating budgets are under pressure, this shift has important financial implications.
Lower energy consumption reduces operating expenses. Improved system performance extends equipment life. Better operational visibility strengthens forecasting and budgeting.
Turning information into advantage
Every large building already produces the operational data needed to improve performance.
The question is whether that data is actively used.
For owners and operators managing complex portfolios, the ability to convert operational data into actionable insight may become one of the most valuable capabilities in building management.
When inefficiencies are identified and corrected early, buildings consume less energy, operate more reliably, and deliver stronger financial performance.
In that sense, building data is not just information.
It is an operational asset.
The portfolios that learn to use it effectively will be the ones that operate most efficiently in an increasingly complex energy environment.

About NERVA Energy
NERVA Energy is a distinguished multidisciplinary engineering firm, renowned for its cutting-edge energy performance solutions. With an elite team composed of seasoned energy engineers, M&E engineers, and seasoned in-house mechanical technicians, NERVA is steadfast in its commitment to delivering turn-key solutions. These solutions not only amplify building energy efficiency but are also backed by a steadfast financial performance guarantee.
To learn more about the company and our services, visit:
