Building Analytics
Smarter buildings,
powered by data
Building analytics involves collecting and analyzing thousands of data points in real time from disparate building systems, such as HVAC, lifts, and temperature sensors, to identify faults, inefficiencies, and optimization opportunities. This powerful technology turns raw and traditionally siloed data into actionable insights, enabling operation teams to improve the performance and efficiency of the buildings they manage.
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While Building Automation Systems (BAS) focus on controlling building equipment to provide specific conditions, they aren’t designed for real-time data analysis or to identify optimization opportunities. Building analytics platforms complement a BAS by collecting data from multiple sources, providing real-time monitoring to identify inefficiencies, digital workflows to ensure issues are quickly fixed, and detailed reporting to support data-driven decision-making.
Using building analytics, operation teams can make faster, more informed decisions, improve team and supply chain productivity and directly contribute to improved NOI, asset values, and tenant satisfaction.
Every building has
room to improve
Whether managing a single site or an expansive portfolio, building analytics delivers unparalleled visibility and control for facilities operations teams, asset managers, and ESG leaders.Regardless of your portfolio's size or efficiency level, building analytics can unlock opportunities for rapid improvement or ensure high performance is sustained.
- For less efficient buildings: Eliminate energy waste, lower operational costs, and address equipment inefficiencies.
- For high-performing buildings: Maintain and protect optimized performance, preventing energy drift and safeguarding premium standards.
A complete solution for smarter buildings
PEAK Platform features
What makes CIM’s solution unique is the combination of the PEAK Platform with expert services that ensure its effective implementation and ongoing success.
These include:
- Utility monitoring
Track energy, water, and gas usage to identify inefficiencies. - Equipment monitoring
Monitor critical systems to maintain peak performance. - IEQ monitoring
Ensure optimal indoor environments for tenant comfort. - AFDD rules engine
Detect and diagnose faults automatically. - Alert notifications
Get critical updates in real time. - Digital workflows
Simplify task management with a seamless platform - Sustainability ratings
Track NABERS, Green Star, and other key certifications. - Dashboards and reports
Access data-driven insights to support long-term planning.
Tailored services
What makes CIM’s solution unique is the combination of the PEAK Platform with expert services that ensure its effective implementation and ongoing success.
These include:
- Dedicated Analytics Engineer
A single point of contact to provide guidance and support. - Comprehensive onboarding and commissioning
Ensure all data points are integrated and functional within 30 days. - AFDD rules deployment and tuning
Optimize fault detection to your building’s specific needs. - Custom alert notifications
Focus on the most critical issues for your building’s operations. - Training for site teams and contractors
Maximize platform adoption and engagement. - Quarterly sponsor meetings
Align objectives and refine strategies for continuous improvement.
of buildings in CIM's monitored portfolio had at least one sensor fault over twelve months.
CIM analysis of fault alerts across 600+ commercial buildings, September 2025 to September 2026. A failed sensor makes every rule downstream of it wrong.
Works with incomplete or inconsistent BMS data
PEAK is built for the BMS data buildings actually have. It maps inconsistent point names using machine learning with engineer review, raises failed, drifting and flatlined sensors as faults in their own right, and flags missing data instead of hiding it, so your team knows which results to trust and which sensors to fix first.
Very few buildings have clean data, and waiting for it only delays the savings. The better approach is to start with the data you have, fix what matters first, and let the platform show you where the gaps are.
How does PEAK handle messy BMS data?
Inconsistent point names
AHU-3_SAT, L4_AHU3_SupplyTemp and Sup_T_3 can all mean the same thing. Machine learning proposes normalised metadata for every point, CIM engineers review it, and templated equipment is mapped in bulk.
BMS point naming explained →Failed, drifting and flatlined sensors
Values out of physical range, values that stop moving and values that disagree with a trusted reference are raised as sensor faults, reported separately from equipment faults so they can be fixed first.
One misplaced sensor, 88% less chiller runtime →Gaps and missing points
Missing interval data is flagged, not hidden. Electricity gaps are estimated from the same weekday over the previous four weeks and replaced when actual data arrives, and virtual points can be calculated where meters are absent.
How meter gap filling works →Older and mixed BMS estates
PEAK reads BACnet/IP, routed BACnet MS/TP, vendor APIs or scheduled CSV exports across mixed brands, with no controls replacement. Live connections are preferred because they give fresher, higher-fidelity data.
See how PEAK connects →Ready to unlock the potential of
your building data?
Discover how CIM’s building analytics solution can transform your operations.
Turning data into measurable outcomes
CIM’s building analytics solution creates a foundation for operational excellence, helping you achieve
Real-time visibility
Monitor performance across all your sites with centralized dashboards and reports.
Critical equipment confidence
Track key systems 24/7 to ensure reliable and efficient operations.
Rapid issue resolution
Automated fault detection helps resolve problems quickly, reducing disruptions and extending equipment life.
Elimination of utility wastage
Detect abnormal usage patterns and inefficiencies to cut costs and boost environmental performance.
Optimum indoor environmental quality
Maintain comfortable and healthy spaces for tenants, while improving IEQ ratings.
Improved team productivity
Automate repetitive tasks and equip your team with actionable insights to focus on high-value initiatives.
Enhanced sustainability performance
Improve NABERS, LEED, Green Star, or other ratings to meet regulatory and ESG goals.
Vendor benchmarking
Compare contractor performance to ensure accountability and optimize service agreements
Building analytics and BMS data quality, explained
Does building analytics work with poor-quality BMS data?
Yes, if the platform is built for it. No analytics platform fixes bad data on its own, but a good one maps inconsistent points with engineering review, detects failed and drifting sensors as faults, and flags missing data rather than hiding it. In CIM's monitored portfolio, 78% of buildings had at least one sensor fault.
How does PEAK handle inconsistent BMS point names?
PEAK uses machine learning to propose normalised metadata for each BMS point, describing what it measures and which equipment it belongs to. CIM engineers review the proposals before rules run, and templated equipment such as VAV boxes is mapped in bulk, which removes most of the manual point mapping that slows deployments.
What happens when a BMS sensor fails or drifts?
PEAK raises it as a sensor fault in its own right. Rules check for values that are physically out of range, values that stop changing when they should move, and values that disagree with a trusted reference. Sensor faults are reported separately from equipment faults, because a broken sensor makes every rule downstream of it unreliable.
What if a building is missing sensors or meters?
PEAK works with the data that exists and makes coverage gaps visible. Missing interval data is flagged, electricity gaps are estimated transparently and replaced when actual data arrives, and virtual points can be calculated where meters are absent. A targeted sensor top-up on high-value plant is usually cheaper than full instrumentation.
Do I need to clean up my BMS data before deploying PEAK?
No. Data clean-up is part of onboarding rather than a prerequisite. CIM engineers map and review points as the site connects, and the first fault list usually includes the sensor faults worth fixing first. Waiting for perfect data mostly delays the savings, because most faults can be found with the points already available.
Can PEAK work with an older or proprietary BMS?
Yes. PEAK reads data through BACnet/IP, BACnet MS/TP routed to BACnet/IP, a vendor API, or scheduled CSV exports where no live connection is possible. Platforms in production include Trend, Tridium Niagara, Schneider Electric, Honeywell, Siemens, Johnson Controls, Distech, Delta, Alerton and Automated Logic, with no controls replacement needed.
Powering property teams in these world leading companies.
