Projects
What are projects in Vectice?
Projects enable data science leaders to oversee team workflows and track data science projects.
Within each workspace, you can create multiple projects, each with its own phases and assets.
Project Features
| Features | Description |
|---|---|
Phases | Phases help organize project objectives, maintain consistency, enforce best practices, and document knowledge. |
Project overview | Overview of the project, including the owner, details, status, and progress of each phase. |
Project templates | Templates offer an easy start for projects. The default template gives you a pre-filled project using CRISP-DM methodology. |
Asset logging | Assets like code, datasets, and models can be added to your project using the Vectice API, where their source, version, and details are documented in the Vectice app. |
Duplicate projects | Duplicating a project makes a new one with all the phases, documentation, and requirements, but without copying iterations, models, and datasets. |
Move projects | Transferring a project to a different workspace moves all its components like phases, iterations, models, and datasets. Projects can only be moved to workspaces where you are a member. |
Project owners and Workspace Admins can transfer project ownership to another member. Only Workspace Managers can undo this action. |
Things you should know
You can customize the default project template to fit your organization's needs. For example, you can create project templates for Analytics, Operations, Machine Learning, and more.
The project statuses will automatically update as your project phases progress.
You can find your Project ID and Workspace ID under the Project details on your project's Overview page.
Projects best practices
When assigning a Project Owner, this person should be the point of contact for project-related questions or concerns.
🎉 Now that you know more about Projects, let's create a project.