The effectiveness of AI and advanced analytics depends on the quality, structure, and context of the data it receives.
For building owners and operators, this means ensuring that assets, spaces, and connected data points are organised, standardised, and properly related. Without clear context and asset relationships, analytics and AI platforms can only deliver limited insights, reducing their potential to drive meaningful outcomes.
Tyrrell Analytics simplifies the process by organising and contextualising building data using open standards. By creating clear relationships between assets, spaces, and data streams, it enables deeper visibility, more actionable insights, and better-informed decision-making.
This approach has already delivered measurable results. In one project, Tyrrell Analytics helped verify 40% annual energy savings following the deployment of an IoT-based integrated energy control solution using IONA controllers and LoRaWAN devices.
Why Context Matters
When building data is structured and connected:
- Analytics platforms can identify trends and inefficiencies more accurately.
- AI applications can deliver more meaningful insights and recommendations.
- Building teams can make faster, data-driven decisions.
- Energy, operational, and sustainability goals become easier to achieve and measure.
Ready to Unlock More Value from Your Data?
The Tyrrell Products Professional Services team is available to support the design, deployment, and training required to maximise the value of Tyrrell Analytics.
Don’t let disconnected or unstructured building data limit what your analytics, automation, and AI initiatives can achieve.
Book a Tyrrell Analytics demonstration today and give your building data the context it needs to deliver measurable value.