This is how you prepare data for a digital twin
At Aize, we noticed that many digital transformation teams faced similar challenges when preparing data for activation in our digital twin. Customers transitioning to our platform often asked the same questions about scope, quality, and structure.
We decided to formalise our knowledge and experience so others could easily access and reuse it. The result: practical, experience-based guides that make the onboarding journey smoother.
What is data activation?
Data activation is about turning project data into something usable and valuable inside Aize. It’s the process of transforming disconnected engineering, document, and model data into a connected digital twin that people can navigate and understand.
In short, it’s how we give context and purpose to data: making it work for everyone involved in operating, maintaining, and improving an asset.
These guides are part of Aize’s Data Activation initiative – a series of practical resources designed to help customers understand what types of data are needed to bring their assets to life in Aize.
Each guide focuses on one essential data domain. Together, they explain what 'good' looks like, why each data type matters, and how to prepare it for use in Aize.
The success of a digital twin depends on the data
The success of any digital twin depends on the quality, structure, and readiness of its data. These guides help teams build that foundation by providing clear, actionable information.
They reduce uncertainty during onboarding, speed up activation, and help everyone from engineers to IT work from a shared understanding of what’s needed.
The Recommended Starter Dataset for digital twin success
We define the core set of data needed to support the initial build of a digital twin that is functional, accessible to users, and capable of delivering immediate value.
Open guide
3D Modelling
Models are the spatial heart of digital twin assets. They represent your real-world facility in a structured digital environment.
Open guide
Documents and Data
Documents are dynamic information assets. They are a foundational element that interconnects the various components of the digital twin.
Open guide
Reality Capture
Visual intelligence for your digital twin. Use spatially aligned data to enrich your digital twin.
Open guide
Use the guides as a reference when planning or executing data onboarding. They’re also a great starting point for anyone who’s new to the digital twin concept.
The guides explain, in simple and practical terms, what data is needed and why it matters, helping people visualise what a digital twin could look like for their own assets and operations.
That’s why we’ve made them freely available. Anyone interested in digitalising their facilities can start exploring the possibilities early, understanding the value of their data, and imagining the steps towards a connected, data-driven future.
What you’ll learn about data activation
The guides will help you understand what data is needed for a meaningful digital twin, what good-quality inputs look like, and how your data supports specific use cases in Aize. More broadly, you’ll learn how all these data types work together to create a connected, navigable representation of your asset.
All guides follow a consistent structure:
- Purpose and value – why this data type matters in Aize.
- Data description and scope – what is included and what isn’t.
- Requirements and recommendations – technical guidance on formats, metadata, and structure.
- Typical sources – where the data usually comes from and how to retrieve it.
- Example use in Aize – how users can interact with it once it’s activated.
Each guide offers a focused introduction to a specific data type. It explains the role each data type plays in a digital twin, what’s required to get started, and how that data enables valuable user experiences.
After reading, you will know what data you need to gather, how to prepare it, and what to expect once it’s inside Aize.
Who are the guides for?
The guides are for anyone interested in understanding how data enables a digital twin in Aize. They’re particularly useful for:
- Existing and future customers who are preparing or planning to onboard data into Aize.
- Project engineers, document controllers, IT leads, and data managers who need practical guidance on what’s required and how to structure it.
- Leaders and newcomers who are curious about what a digital twin is and want to see what it takes to digitalise their assets and operations.
What we offer at Aize
At Aize, we believe that the success of any digital twin initiative hinges not just on technology, but on the quality of data, collaboration, planning, and support that underpins it.
Our Delivery team will ensure that our customers are set up for success from day one. That starts with establishing a realistic and practical baseline for data readiness, striking a careful balance between ambition and feasibility.
We work closely with stakeholders across disciplines to identify the Recommended Starter Dataset required, align expectations, and ensure that the right people and processes are in place to support delivery.
From Aize, we bring:
- A proven platform for building and scaling digital twins, capable of ingesting and contextualising engineering, operational, and maintenance data.
- Visual tools and spatial interfaces that allow users to interact meaningfully with their facility data from the outset.
- Expertise in data contextualisation, quality checks, and digital model alignment to ensure the data is not just available, but usable.
- Close collaboration with customer teams, including IT, engineering, and operations, to build shared understanding and momentum.
Together, Aize works with our customers to co-create a deployment path that delivers early value while laying the groundwork for future growth and capability.