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August 27, 2026 · 11:00 am EDT

How much of your Jira data gets left out of your reports?

Can your Jira dashboards show how projects changed over time, what work actually cost, or whether delivery quality is improving?
  • How to spot gaps in your current Jira reporting coverage

  • Why issue history and status transitions matter for measuring delivery trends, cycle time, and improvement over time

  • How to combine Jira Software, JSM, Assets, Tempo, and third-party app data in one reporting model

  • What to consider when scaling Jira reporting across complex instances

Your Jira environment contains more than issues, projects, and sprint data.

The challenge is understanding how much of that data your current reporting setup can actually reach.

Without issue history and status transitions, you’re missing valuable information around delivery trends, cycle time, and improvement over time.

In this live webinar on Thursday, August 27th at 11:00am ET, we’ll audit the Jira data landscape across five layers, from core objects and custom configuration through historical data, broader Jira products, and the apps layered on top.

Then we’ll build the reporting picture step by step, showing how those layers come together in a BI environment to answer questions such as: Where is work slowing down? Is delivery improving? What did an initiative cost? Did quality improve?

We’ll also look at governance, scale, and the engineering effort required to maintain this level of reporting coverage internally.

You’ll leave with a practical framework you can use to evaluate your current Jira reporting setup and identify where important data may still be missing.