Ardoq

Pia Therese Roland

Set up the foundation for digital transformation in your organization. Get started by learning the basic parts of Ardoq. 

Learn about Ardoq, a collaborative, easy-to-use and intuitive tool that helps you describe your organization as a digital twin.

Follow these guidelines to help you understand what an application is before you confidently start Application Portfolio Management.

Workspaces help you manage communication, permissions, and collaboration by grouping all of your components in one place.

Find out how many components and references are recommended per workspace to give optimal performance.

Learn how references connect components, and why they are first-class data objects in their own right.

Components and references can have user-defined fields in Ardoq, allowing you to add critical metadata.

Metamodels define the structure of your components and references through one-on-one relationships with your workspaces.

Follow this step-by-step description to learn how to create a new workspace and start setting up Ardoq.

Learn how to create components in Ardoq by in this step-by-step guide.

This step-by-step will guide you on how to create references and reference types, and learn how to connect components.

Find out how you can edit the metamodel you're using for your active workspace in just a few clicks.

Learn how to create fields that allow you to add critical metadata by following this step-by-step description.

Learn how to change the name, color, shape, or image of your components within your model to reflect your organization's framework.

A step-by-step guide on how to assign the source and target cardinality to a reference type in Ardoq.

Get a clear understanding of where your organization is at, where your are going, and how to get there.

See how you can get real-time insights across your strategic and operational landscapes through business-friendly visualizations.

Identify unconnected data, missing information, and data that might break your "design principles" through a higher data overview.