We’re excited to share a new Beta feature in ActionableAgile for Azure DevOps that lets you easily save your data sets! ✨
This upgrade streamlines the saving process, allowing you to access and analyze your information whenever you want. With this feature, loading your data is a breeze, so your valuable insights are always just a click away. Begin saving your data sets today and unlock a more efficient approach to analyzing your work!
Follow below for a step-by-step guide to save your data 🧙♂️
Navigate to the Data Set drop-down menu and select Create New Data Set.
Create a New Data Set
Step One: Select Work Items
This action will kick off step one of the new data loader, where you will choose what data you want to load.
Firstly, choose a unique name for your data set that is less than 50 characters in length.
- Secondly, choose whether you want to load via Board Columns or Workflow States.
For Board, select the Team and the corresponding Board you want to view.
For Work Items, select the Team(s) you want to view.
Next, pick the Nested Area Paths that you would like to use.
Lastly, choose whether you want to apply filters that limit your data to items Created After and/or Resolved After a chosen date.
Once you've settled on the parameters for the data you want to load, go ahead and click "Next."
Step Two: Add Fields
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We automatically bring in these Default Fields: ID, Issue Link, Title, date, Work Item Type, Priority, Value Area, Area Path, Iteration Path, Blocked Days, Blocked, Tags, Reason, Lane, Removed From |
From the list of available fields on the left-hand side, choose the field(s) you wish to bring into your data set.
Please note you can select (and deselect) multiple fields in one go.
Once you have chosen your fields, select the top arrow to add them to your data set.
Your chosen fields will now appear in the right-hand column.
To remove any fields from your data set, simply select the desired fields and click the bottom arrow to remove them.
Once you have selected your preferred fields for the data set, click “Next.”
Step Three: Map Workflow Stages
Begin by mapping your columns or states to the workflow stages.
Where the data is mapped will determine how your data is visualised in ActionableAgile.
Unmapped columns or states need to be mapped in your workflow.
Each column or state contains transition dates for your work items, so it’s best to map them to your workflow to ensure all work items have their journey through your workflow plotted correctly.
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Don’t recognise some columns or states? ActionableAgile goes through the entire history of your work items to grab all the transition dates. This includes workflows from which your item may have been migrated and columns or states that may have been deleted or renamed. |
You can customise your workflow to visualise your data how you want by renaming, merging, and creating new workflow stages to map your data to.
Once you have mapped your data and organised your workflow, click “Finish.” Your data set will now be loaded into ActionableAgile Analytics and you’ll be able to view the saved version in Find or Manage A Data Set.
Find or Manage A Data Set
To view your saved data sets in ActionableAgile for Azure DevOps, navigate to the data set drop-down menu and select Find Or Manage A Data Set.
After you have selected this, a window will appear with all the data sets you have saved with , their namenames, the last date they were updated, and actions you can take (view, edit, and delete).
