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DATA Conformity

Using standards such as UDMI, Brick Ontology, and Project Haystack, equipment and data points can be named, tagged, and connected in a common way. This helps BMS, IoT devices, maintenance platforms, software, and AI tools identify assets, integrate systems, process data faster, and generate useful insights automatically.
The benefits include faster commissioning, simpler maintenance, better energy and performance analysis, scalable smart building integration, and a more reliable digital twin. This improves operational transparency and reduces lifecycle costs.
Think of unstructured building data like a bowl of spaghetti: it is difficult to see which strand connects to what. Data conformity lays the spaghetti flat on the table, so every asset, point, and connection can be clearly identified and followed.

Our Data Conformity Services Include

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Brick Ontology

Brick Ontology is an open standard that provides a common way to describe and organize building assets, equipment, sensors, and their relationships, making building data easier to integrate, understand, and use across different systems.

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Project Haystack

Project Haystack is an open standard that uses semantic tagging to describe building equipment, sensors, and data points, making information easier to integrate, analyse, and share across different systems.

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Universal Device Management Interface

UDMI (Universal Device Management Interface) is an open standard that provides a common framework for connecting, managing, and exchanging data between smart building devices and cloud-based systems.

Wired Score

WiredScore is a global certification system that assesses and benchmarks a building’s digital infrastructure, connectivity, and smart technology readiness.

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Smart Score

SmartScore is a certification framework that measures how effectively a building uses smart technology to enhance user experience, operational efficiency, sustainability, and future readiness.

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MQTT

MQTT (Message Queuing Telemetry Transport) is a lightweight messaging protocol that enables efficient, real-time communication between IoT devices, sensors, and cloud-based systems.

Frequently Asked Questions

Data conformity in a building is the process of standardising how assets, sensors, and data points are named, tagged, and structured so they can be consistently understood, integrated, and used across all building systems and applications, enabling faster integration, improved analytics, more effective AI-driven insights, and lower operational costs throughout the building lifecycle.
Data conformity is critical in buildings because it makes data easy to find, access, and understand, allowing systems, software, and AI to work together seamlessly and deliver better operational, maintenance, and energy performance outcomes. Without it, data becomes fragmented, difficult to access, and costly to use, limiting the value of smart building technologies and analytics.
Yes, several industry standards support data conformity in buildings, including Brick Ontology, Project Haystack, UDMI, and BIM standards such as ISO 19650, which help ensure building data is structured, tagged, and organised consistently across systems.
Data conformity is achieved by implementing recognised standards into the design of a new construction project or retrofit, typically by a qualified smart building consultant. While it can be introduced at any stage, retrospectively correcting and standardising building data is often complex, time-consuming, and expensive, making it far more effective to establish data conformity from the outset of any upcoming project.
Building data is rapidly becoming a valuable commodity, and as demand for AI, digital twins, and performance analytics grows, high-quality building data is expected to become a commercialised asset. Studies show that predictive maintenance can reduce maintenance costs by 10–30% and equipment downtime by up to 50%, while smart building analytics can deliver energy savings of 10–20%. As a result, building data can be monetised through energy optimisation, predictive maintenance, performance benchmarking, ESG reporting, tenant experience services, and AI-driven applications that generate measurable business value and new revenue opportunities.
Yes, building data can integrate with existing systems using gateways and integration platforms, meaning data conformity can be implemented progressively as systems are upgraded rather than requiring a complete replacement of existing infrastructure. Once standardised, the data can be shared across BMS, IoT, maintenance, and analytics platforms, and can also be incorporated into BIM models and digital twins to provide a more complete and connected view of building performance and operations.