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This NexusCon 2025 presentation brings together Rick Szcodronski and Christopher Manna from Willow, Steve Burrell from Northern Arizona University, and Jose de Castro from Mapped to show how a large public university turned years of disconnected building data into something operators could actually use. The group tackled a familiar problem for campuses: hundreds of buildings, multiple BMSs, room scheduling systems, sensors, and metersâbut no reliable way to connect context across them.
Using NAUâs 175-building, 7-million-square-foot campus as the backdrop, they walked through how data aggregation, ontology mapping, and practical tooling enabled real operational use cases instead of dashboards for dashboardsâ sake. The focus wasnât theoryâit was how frontline teams finally got from raw data to decisions.
Behind the paywall, youâll see what surprised the team about how hard contextânot dataâwas the real bottleneck, and why earlier in-house attempts failed despite strong IT and data science resources. The speakers break down what it actually took to map rooms to zones, zones to terminal units, and schedules to sensors at scaleâand how co-pilot style workflows replaced weeks of manual engineering work.
Youâll also learn how NAU achieved meaningful energy savings by putting unoccupied rooms into standby, why buy-versus-build mattered, and how the same architecture now supports sustainability reporting, student research, and AI-driven operations. If youâre responsible for a campus or portfolio drowning in building data but starving for outcomes, this recording will feel uncomfortingly familiarâand very useful.
Watch the full recording inside Nexus Pro â
This NexusCon 2025 presentation brings together Rick Szcodronski and Christopher Manna from Willow, Steve Burrell from Northern Arizona University, and Jose de Castro from Mapped to show how a large public university turned years of disconnected building data into something operators could actually use. The group tackled a familiar problem for campuses: hundreds of buildings, multiple BMSs, room scheduling systems, sensors, and metersâbut no reliable way to connect context across them.
Using NAUâs 175-building, 7-million-square-foot campus as the backdrop, they walked through how data aggregation, ontology mapping, and practical tooling enabled real operational use cases instead of dashboards for dashboardsâ sake. The focus wasnât theoryâit was how frontline teams finally got from raw data to decisions.
Behind the paywall, youâll see what surprised the team about how hard contextânot dataâwas the real bottleneck, and why earlier in-house attempts failed despite strong IT and data science resources. The speakers break down what it actually took to map rooms to zones, zones to terminal units, and schedules to sensors at scaleâand how co-pilot style workflows replaced weeks of manual engineering work.
Youâll also learn how NAU achieved meaningful energy savings by putting unoccupied rooms into standby, why buy-versus-build mattered, and how the same architecture now supports sustainability reporting, student research, and AI-driven operations. If youâre responsible for a campus or portfolio drowning in building data but starving for outcomes, this recording will feel uncomfortingly familiarâand very useful.
Watch the full recording inside Nexus Pro â

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This is a great piece!
I agree.