Question 1

What is ADML (Analytics Design Markup Language)?

Accepted Answer

Analytics Design Markup Language (ADML) is a markup language based on JSON. It encompasses a set of processes required to develop and deliver a successful data product. ADML is used to capture the context and codify the outcomes, assumptions, data requirements, resources, hypotheses, and learning that comprise the data product.

Question 2

Why do you need ADML?

Accepted Answer

ADML is developed as a markup language to provide a taxonomy that can be implemented into any analytics management ecosystem. It is designed to be descriptive, interoperable, and portable.

Question 3

What does using ADML provide?

Accepted Answer

The markup language provides a flexible mechanism for defining a schema for the lifecycle of a data product built to address a specific issue and it ensures the resulting data product aligns with an organisation’s strategic imperatives or operational obligations.

Question 4

How does ADML work?

Accepted Answer

ADML is a framework to manage the design and specification of data analytics assets, which we term “data products”. It is not aligned with any particular technology, operating model or project management methodology. It is underpinned by a design methodology; and a technical schema to capture outputs of the design process.

Analytics Design Markup Language

A universal framework to manage the design lifecycle of data analytics assets.

Everything you need to know

Discover how ADML can help you develop and deliver successful data analytics assets.

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