| Table of Contents | ||||||
|---|---|---|---|---|---|---|
|
December 2023
It’s been several weeks, but it was worth the wait because this release is gold!
Integration with BigPicture
This is the first part of our integration with BigPicture. We are releasing the BQL BigPicture Custom Charts gadget for Cloud (Data Center version available soon). This gadget allows you to select multiple boxes from the hierarchy to set the scope of your data. Then, you can use filters (free text, type, status, dates, etc.) to narrow down specific boxes to ensure precision in your search and upcoming charts. The version allows to create the right visualization in custom tables or charts of your boxes, and charts based on tasks will be ready in upcoming versions too.
1D and 2D Pivot Tables in the JQL Custom Charts gadget
We have added 2 new views to the JQL Custom Charts gadget: 1D
Pivot Table ViewThe 1D Pivot Table view in our Jira app offers a streamlined and focused perspective on your data. This view is designed to provide and 2D Pivot Tables. Now you can create a comprehensive overview of a single dimension of your dataset. Users can select a specific attribute or field to act as the basis for organizing and aggregating data. The resulting table presents a clear representation of the chosen dimension, summarizing key metrics and allowing for efficient analysis.
Key Features:
Dimension Selection: Choose a single dimension or field to structure the pivot table.
Aggregation: Aggregate data based on the selected dimension to reveal patterns and trends.
Customization: Tailor the table to your needs by selecting which metrics to display and how they are presented.
, or expand on the capabilities of pivot tables and introduce second dimension, enabling users to explore data relationships in more depth.
Use Cases for the 1D Pivot Table:
Analyzing work distribution across teams or projects.
Reviewing issue status distribution over time.
2D Pivot Table View
The 2D Pivot Table view expands on the capabilities of the 1D Pivot Table by introducing a second dimension, enabling users to explore data relationships in more depth. This view allows you to analyze data across two dimensions simultaneously, providing a richer and more nuanced perspective on your Jira information. By selecting two different attributes or fields, users can cross-tabulate data, facilitating a more comprehensive understanding of how different factors interact.
Key Features:
Dual Dimension Selection: Choose two dimensions or fields for cross-tabulation.
Aggregation: Aggregate and analyze data based on the combination of the selected dimensions.
Interactive Exploration: Easily navigate and drill down into specific data points for detailed insights.
Use Cases for the 2D Pivot Table:
Investigating the relationship between issue types and assignees.
Understanding the distribution of effort across teams and priority levels.
Both the 1D and 2D Pivot Table views empower users to gain valuable insights into their Jira data, facilitating informed decision-making and efficient project management. These views offer flexibility and customization options, ensuring that users can tailor their analysis to meet their specific needs and objectives.
Popular Pages gadget for Confluence
New Popular Pages gadget for Confluence (Data Center). Use this gadget to display the most popular pages and their authors.
Features and improvements:
Formula Cards gadget: Limit Increased to 2,500 issues in Jira and to 5,000 items in http://monday.com
Migrated to the new http://monday.com API
Security improvements in authentication endpoints
Bug Fixes
We kill them all 🐞🐞🐞 Check more info in the Release Notes of each version.
Do you know our Trust Portal? Take a look for the latest information on the security, privacy, and compliance of our products.
Do you love using our apps? Let us know what you think and help us with your reviews.
Questions and feedback
Stuck with something? Raise a ticket with our support team.
Do you love using our app? Let us know what you think and help us with your reviews (for Confluence here).