Data Integration & Ontologies
What is an independent data layer in a smart building?
What an independent data layer does, how to test its independence and why the operating model comes before the platform.
Data Integration & Ontologies
How building data can be structured and shared without tying it to one vendor. Practical guidance for owners, designers and operators working on…
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16 articles
Data Integration & Ontologies
How do you choose a data platform for a property portfolio?
A five-step, evidence-led method for choosing a portfolio data platform, including contrasting pilots and an exit test.
Data Integration & Ontologies
What should a building data API specification include?
What a building data API specification must cover beyond endpoints: meaning, behaviour, security, change and acceptance tests.
Data Integration & Ontologies
What is an independent data layer in a smart building?
What an independent data layer does, how to test its independence and why the operating model comes before the platform.
Data Integration & Ontologies
How do you integrate legacy building systems into one data platform?
A six-step method for connecting legacy building systems to one data platform without destabilising them.
Data Integration & Ontologies
What is the difference between Brick Schema and Project Haystack?
How Brick and Project Haystack differ in practice, and how to compare them on the same operational question.
Data Integration & Ontologies
What is the difference between an independent data layer and a common data environment?
How a common data environment and an independent data layer differ, and how stable identifiers connect them.
Data Integration & Ontologies
What is the difference between an independent data layer and a BMS?
How a BMS and an independent data layer divide control and information, and how to govern write-back safely.
Data Integration & Ontologies
What is a building ontology?
What a building ontology is, the main options and why an ontology alone does not create interoperability.
Data Integration & Ontologies
How can Databricks be used to analyse smart building data?
When Databricks suits building data analysis, how to organise a medallion pipeline and where the operating boundary sits.
Data Integration & Ontologies
How can building owners avoid vendor lock-in?
Where vendor lock-in actually sits in building systems, how to make exit measurable and how to price access over the whole life.
Data Integration & Ontologies
How do you assess the quality of building operational data?
How to assess building operational data for fitness for purpose across five dimensions, with a defect register and owners.
Data Integration & Ontologies
Who should own building data and control access to it?
How to allocate rights and access by type of building information, including personal data and connected-product data.
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