11 docs tagged with "dora"

The DORA dashboard is pre-configured with certain default configurations, such as threshold values, bucket ranges, labels, and so on. These values can be modified to suit customers' requirements.

DevOps Research and Assessment as a dashboard helps you analyze details to streamline or improve your DevOps process using key DORA metrics such as Deployment frequency, Lead time for change, Mean time to restore, and Change failure rate. DORA metrics have now become the standard for gauging the efficacy of software development teams and can provide crucial insights into areas for growth.

The Change Request Analysis dataset helps you analyze the change requests within a project or organization. This dataset facilitates the Change Executives or Change leaders to monitor, evaluate, and track change requests throughout their cycle. Using this dataset helps you gain insights into business scenarios such as:

The DORA common filter details dataset allows you to filter a range of data based on the criteria you define. For example, the Parent folder attribute as a filter allows you to select any level from the parent attribute and displays a flattened view of all underlying child release folders that are associated either directly or indirectly with the parent folder. And individuals who work together collaboratively to achieve a task represented as teams.

The out-of-the-box datasets are created using data that is available in Digital.ai Release and Digital.ai Deploy. You can use these ready-to-use datasets to create customized dashboards based on your requirements.

The Deployment Analysis dataset provides an overview of the deployment process for software updates of an organization. This dataset helps you gain valuable insights into the deployment process, enabling them to make informed decisions, improve efficiency, and ensure the reliability of software. Using this dataset, you can answer business questions related to deployments such as:

The Incident Analysis dataset helps you analyze the incidents that occurred within a system or organization. This dataset provides valuable insights into incident management, helping you track, analyze, and improve their response to incidents, ultimately providing user satisfaction. Using this dataset helps you gain insights into business scenarios such as:

The DORA Industry Standard Grid dataset is used to view the industry standard thresholds set by the DORA team for comparison and performance enhancements.

The Lead Time Analysis dataset provides insights into the time it takes for a process to be completed, from the initiation of work to its final delivery. This dataset helps you understand the development process better, optimize workflows, and deliver software more efficiently while meeting customer expectations.

The DORA release last refresh datetime dataset is used to view the time stamp of when the data load occurred and presented in a machine-readable format yyyy-MM-dd HHss.SSS.

Out-of-the-box datasets are pre-built and ready-to-use datasets that you can use to create visually appealing reports. These datasets can be used to create customized dashboards based on your requirements. You initiate analysis, development, or testing without the need to collect, clean, or prepare data from scratch. These datasets serve as a convenient resource for users to promptly commence data-related tasks, learn new tools, and develop solutions with minimal setup effort.