Phases Introduction
Learn more about Vectice Phases and its features.
Learn more about Vectice Phases and its features.
Phases are project milestones or objectives used to organize projects and initiatives, enforce best practices, enable consistency, and capture knowledge.
Each phase can contain a phase owner, documentation, iterations, requirements, reviews, and the ability to capture datasets, models, and code during iterations.
Phases can reflect the real-life phases of the Data Science project lifecycle, for example, Business Understanding, Data Preparation, Modeling, Evaluation, and Deployment.
| Feature | Description |
|---|---|
Update the phase status as work progresses to increase visibility into whether the phase is Not Started, In Progress, or Completed.
Ensure each phase has an owner. The phase owner is responsible for requesting phase reviews.
Documentation
Document the phase's objectives, assets, and outcomes to showcase the results of data science initiatives to stakeholders.
View iterations
View all iterative work completed and in progress for each phase. You can track and manage iterations once they appear in the Vectice app.
Define requirements
Create requirements to define the needs and expected outcomes to complete the project's phase and guide your team toward success.
Requirements as sections for iterations
Set requirements to appear as section names and descriptions for iterations of the phase.
Request and receive reviews
Gain insight into phase progress and data science initiatives, share phase outcomes, and receive feedback from stakeholders and subject-matter experts on your initiatives.
Duplicate phases
Duplicating a phase creates a new phase within the project while preserving the documentation and requirements. Iterations and reviews are not copied to the new phase.