Building data can help facility leaders see where equipment problems, operating waste, or maintenance risks are starting to develop. When the right information is tracked consistently, teams can respond earlier and make better use of maintenance and capital budgets.
Here’s how to decide which facility data to track and how to put it to work.
Connect Building Systems Into One Operational View
Data-driven facility management works best when building controls, sensors, maintenance records, and equipment information can all be viewed together. A building automation system, or BAS, can provide operating data from connected systems. Sensors can add details such as temperature, pressure, occupancy, vibration, and runtime. Maintenance records add repair history and recurring equipment problems.
Connecting each of those sources gives facility teams a better understanding of what’s happening across the property and where else attention may be needed.
Start With the Systems You Already Have
Many commercial buildings already collect useful information through existing controls and equipment. Reviewing those sources can show what is available and where additional monitoring may help.
Existing data may include:
- BAS trends and alarms
- Equipment runtime data
- Utility meter information
- Existing occupancy sensors
- Work-order and repair history
- Temperature, pressure, or airflow readings
- Equipment startup and performance records
Once you know what data is already available, you can see where additional monitoring would actually help. That may mean connecting systems, upgrading controls, or creating a clearer way to view building performance.
One of our Smart Buildings project managers sees this often:
“We’ll walk into facilities that already have a lot of good information available. One system has one piece, another has something else, and the facility team needs an easier way to see the full picture.”
Our smart building systems can integrate controls, organize data into custom dashboards, and provide real-time monitoring and performance verification so your team can act on that information more easily.
Track Metrics That Support Business Decisions
The most useful facility metrics connect building performance to decisions about maintenance, operating costs, and future spending. Different metrics answer different questions, from how quickly your team resolves equipment failures to whether an asset is showing signs of declining performance.
Facility leaders can use the table below to match each metric to the decision it can help support.
| Metric | What It Shows | Decision It Can Support |
| Mean Time to Repair (MTTR) | How long equipment failures take to resolve | Staffing, parts, and service planning |
| Planned vs. emergency work | How much maintenance is scheduled before a failure | Maintenance priorities |
| Asset runtime and condition | Changes in how equipment is operating | Repair or predictive maintenance decisions |
| Energy Use Intensity (EUI) | Energy use relative to building size | Efficiency projects and benchmarking |
| Space utilization | When and where the building is being used | Scheduling, renovations and space planning |
| Facility Condition Index (FCI) | Cost of deficiencies relative to replacement value | Capital spending priorities |
The right data to watch will depend entirely on what you’re trying to improve. We can help you determine which metrics are worth watching for a specific building, system, or operational goal.
Spot Opportunities to Reduce Emergency Service
Preventive maintenance data can reveal recurring issues before they lead to an emergency call. That can help reduce repair costs and avoid downtime that affects production or revenue.
Our commercial service data shows how heavily emergency response factors into the service work we currently see:
- 5-7% were preventive service calls
- 93-95% were emergency service requests
That raises a practical question: Which emergency calls had warning signs beforehand?
Data can help uncover patterns such as:
- Repeat service calls on the same equipment
- Recurring alarms
- Abnormal readings
- Changes in operating data during periods of heavy demand
At Tennessee Oncology’s molecular laboratory in Franklin, Tennessee, for example, we established a preventive maintenance agreement and added real-time temperature and humidity monitoring. The facility went nearly an entire summer without significant operational shutdowns after experiencing problems the previous summer.
Our facility services can support recurring maintenance planning along with work-order tracking, reporting, energy monitoring, and system-performance analysis.
Use Space and Energy Data to Reduce Operating Waste
Space utilization data can show whether building systems are running in areas that see little or no activity for long stretches of time. Facility teams can then use those patterns to adjust schedules, reduce unnecessary equipment runtime, and better match energy use to occupancy.
Over time, that data can also inform decisions about operating hours, floor usage, and space needs.
Look for Patterns With a Clear Operational Impact
Useful examples include:
- A recurring energy spike caused by several large loads starting at the same time.
- Seasonal changes that affect how early equipment needs to start.
- Indoor conditions that shift outside acceptable temperature or humidity ranges.
In the Southeast, summer heat and humidity can make indoor-condition data especially important for laboratories, healthcare spaces, manufacturing processes, and other tightly controlled environments.
At Tennessee Oncology, we added monitoring and alarm capabilities so the facility team could see indoor conditions in real time and respond when parameters reached unacceptable levels.
As facilities collect more reliable performance data, AI in facilities management can provide another layer of analysis by identifying patterns and helping building systems respond to changing conditions.
We can connect controls and energy data so your team can make scheduling decisions based on how the building is actually operating.
Use Equipment Data to Improve Maintenance and Capital Planning
Equipment data can show when an asset starts behaving differently from its normal pattern. A change in runtime, temperature, pressure, vibration, or repair frequency may point to a developing issue that needs attention.
Historical readings give your team something to compare against, making it easier to recognize changes early and decide whether to inspect, repair, or plan for replacement.
How to Review Equipment Risk
- See how the asset normally runs
- Look for changes that keep showing up
- Compare those changes with repair history and downtime
- Consider the impact of a failure
- Compare repair costs with replacement timing
For longer-term planning, asset-level data can be considered alongside broader measures such as the Facility Condition Index (FCI). FCI looks at the cost of facility deficiencies relative to replacement value, while equipment data adds current information about how individual assets are performing. Together, those inputs can help clarify which projects may need to move up the capital plan.
As one of our Smart Buildings project managers explained:
“We’ll sometimes have two units that are about the same age, and one barely gives us any trouble while the other needs constant repairs. That service history is useful when you’re trying to decide where the capital dollars should go first.”
Our data-driven maintenance work uses equipment analytics to spot unusual performance and narrow down potential problems. We can then pair those findings with service history to help facility leaders decide which maintenance needs or capital projects should take priority.
Filter Building Data Into Alerts Your Team Can Use
Useful building analytics should help facility teams identify conditions that need attention without filling the system with low-value notifications. Building automation system metrics can produce a large volume of information, especially across facilities with several connected systems.
Alerts are more useful when they tell the recipient what changed, where it happened, and how urgent the issue may be.
Set Alerts Around Meaningful Conditions
Alert rules can account for:
- How far a reading moves outside its normal range.
- How long the condition lasts.
- Whether the issue keeps recurring.
- Which piece of equipment is affected.
- Where the equipment is located.
- The possible effect on comfort, safety, production, or building operations.
- Who needs to see the alert.
Duration and frequency can help separate a one-time reading from a pattern that deserves attention.
At Tennessee Oncology’s molecular lab, precise temperature and humidity control was critical. We added monitoring and alarms that notified the facility team when indoor conditions moved outside acceptable parameters.
As Facilities & Maintenance Manager Ben Jones reported:
“Conditions at our Molecular Lab were vastly improved through the traditionally difficult summer season.”
We can configure dashboards and alerts around the equipment and conditions your facility needs to watch most closely.
Build the Data Strategy Around High-Priority Systems
A practical facility data strategy starts with a problem that has a clear financial or operational impact. Recurring service calls, frequent downtime, high energy use, or an expensive piece of equipment can all be good places to start. Define the issue first, then choose the data that will help you measure it.
Use a Phased Approach
- Identify the system or problem
- Record the current cost, downtime, or service frequency
- Review the data you already have
- Add monitoring where important information is missing
- Compare the results with your starting point
Show Return on Investment With Real Numbers
At Schneider Electric’s plant in Smyrna, Tennessee, the facility manager knew the compressed-air system had leaks based on energy use. Using Digital Sound Technology through our INSIGHT platform, our technician located and quantified dozens of leaks during normal production.
The cost data helped Schneider Electric decide which leaks to repair first. The plant expected about a two-year return on investment and reported reaching ROI in about 1.2 years, while saving thousands of dollars in annual utility costs.
Depending on the project, ROI may also show up through:
- Fewer emergency repairs
- Less downtime
- Lower energy use
- Better timing of capital replacements
Our team can assess existing controls and help build monitoring around the systems that have the greatest impact on your facility.
Turn Facility Data Into Better Operating Decisions
Data-driven facility management works best when the information leads to a clear maintenance, operating, or capital decision. Start with the problems creating the most cost or disruption, make sure the underlying data is reliable, and measure the result.
We’ve been in business since 1944 and work with facilities across healthcare, industrial, institutional, commercial, and government settings. That experience helps us understand how different buildings use data differently.
Schedule a consultation to see where better monitoring and controls could help your facility.
Frequently Asked Questions
What is data-driven facility management?
Data-driven facility management uses building, equipment, maintenance, energy, and utilization information to guide operating decisions. Facility teams can use those readings to identify problems, prioritize work, and measure results.
Which facility management metrics should executives track?
Watch the numbers that show whether the facility is costing more, breaking down more often, or creating operational risk. That may include Mean Time to Repair (MTTR), the balance of planned and emergency work, energy use, and the condition of major assets.
Can an existing commercial building become a smart building?
Yes. Many existing buildings can add smart building capabilities through system integration, additional sensors, and control upgrades. Our team can evaluate current infrastructure and identify which changes would support the facility’s goals.
How does facility data support predictive maintenance?
Predictive maintenance relies on changes in how equipment normally operates. Longer runtimes, repeat alarms, rising temperatures, or other unusual readings can signal that a system needs attention before the problem becomes more serious.
How can facility leaders measure return on investment from smart building technology?
Compare results with measurements taken before the project begins. Depending on the project, measurable value may come from lower energy use, fewer emergency repairs, reduced downtime, shorter repair times, lower labor demands, or better timing of capital spending.
