Projects

Learn more about Vectice Projects and its features.

What are Projects in Vectice?

Projects allow data science leaders to manage and monitor their team's workflows and gain visibility into data science initiatives.

Projects can reflect a typical Data Science process, including phases and the associated assets like code, datasets, models, and documentation. Data scientists can continue working with familiar tools while capturing milestones and reporting key findings to colleagues and stakeholders in Vectice.

You can define multiple projects within each workspace and multiple phases and assets within each project.

Project Features

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.

How to set up a Project?

Setting up a Project is the first step to empowering your business and teams to accelerate the impact of AI within your organization. For more information on how to set up a project, view our Setting up a Project guide. In this guide, you will learn how to create projects, phases, and steps and about project documentation, iterations, and phase reviews.

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