32 docs tagged with "agility-self-service-dataset"

The Backlog group hierarchy dataset organizes backlog items into hierarchical groups, helping teams manage and prioritize work by understanding relationships between unique items.

The calendar dataset is a comprehensive collection of data points that provides detailed scheduling information for various project activities and milestones.

The Defect snapshot daily dataset gathers daily information on system, product, or process issues.

The Defect snapshot monthly dataset gathers daily information on system, product, or process issues.

The Defect snapshot weekly dataset gathers daily information on system, product, or process issues.

The Issue link dataset offers a detailed collection of data points related to the relationships between various issues within a work item.

The Issue link dataset offers a detailed collection of data points related to the relationships between various issues within a work item.

The Iteration planned vs actual dataset consists of data comparing planned and actual values for specific metrics or key performance indicators (KPIs) related to planning level iterations or sprints.

The planning level program dataset organizes data into different levels of planning within an organization, segmented into strategic, tactical, and operational levels.

The Portfolio item advanced dataset is a comprehensive collection of detailed data points that offer deep insights into portfolio items within a project.

The portfolio item base dataset captures detailed information about various items within a portfolio, such as features, stories, tasks, or other grouped items.

The Portfolio item owner dataset offers comprehensive information about the ownership of portfolio items within an organization.

The Portfolio item strategic theme base dataset is a comprehensive collection of data points that describe the strategic themes associated with portfolio items within a project.

The Request advanced dataset is a comprehensive collection of data points that offer deep insights into various requests within a project management system.

The request base dataset is a detailed collection of data points that outline various requests within a project.

The Request links dataset is a detailed collection of data points that capture the relationships between various requests within a project management system.

The task base dataset is a comprehensive collection of data points detailing the various tasks within a project.

The Task owner dataset provides detailed information about the ownership of tasks within an organization.

The test base dataset is a detailed collection of data points describing various testing activities within a project.

The Test owner dataset provides detailed information about the ownership of tests within an organization.

The Test Trend dashboard helps you understand test trends in the selected planning level or program trend across configurable intervals.

The Test trend weekly dataset provides a detailed weekly summary of testing activities and outcomes.

The Time Spent dataset tracks the time spent on various work items within a project or portfolio.

The work item advanced dataset is a comprehensive collection of data points offering detailed insights into individual work items within a project.

The Work item base dataset offers a fundamental collection of data points relevant to various work items within a project management system.

The Work Item Dependency dataset offers valuable insights into the relationships and dependencies between various work items within a planning level or portfolio.

The work item goals dataset structures data to align specific work items with their corresponding organizational goals.

The work item in status dataset is a comprehensive collection of data that captures the status and progress of individual work items within a project.

The Work item owner dataset offers comprehensive information about the ownership of work items within an organization.

The Work item snapshot daily dataset contains daily snapshots or snapshots at regular intervals of various attributes or metrics.

The Work item snapshot monthly dataset provides a comprehensive monthly summary of work item statuses and metrics.

The Work item snapshot weekly dataset provides a detailed weekly summary of work item statuses and metrics.