One of the primary reasons why organizations adopt Atlassian solutions such as Jira Software is to make work visible. The transparency created by Jira can have a significant impact on companies. Teams can plan and track work, measure progress, and identify and resolve problems. Jira serves as a single source of truth for what is happening within the business. The data captured in Jira can provide an incredibly rich source of information about the organization at large. However, to ensure that the data is clean and accurate, teams must work in similar ways, and projects must be configured similarly.
In this whitepaper, we will explore the essential steps that organizations must take to ensure that their Jira data is clean and accurate. We will delve into the foundational work companies must do, the agreements they must make, and the common practices and processes they must adopt to make the data meaningful. We will also discuss how companies can leverage both Atlassian tools and third-party software to introduce DevOps and Agile methodologies. These methodologies enable iterative improvement, feedback loops, and alignment of strategy with execution.
What You'll Learn:
- How to maximize the benefits of Jira Software
- Techniques for ensuring clean and accurate Jira data
- Adopting common practices and processes to make data meaningful
- Advancing reporting and analytics for valuable insights
- And much more!
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