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Welcome to Datagrid
Welcome to Datagrid
Jira

Jira

The Jira connector allows you to seamlessly pull data from your Jira account into Datagrid. This integration enables you to leverage Datagrid's powerful data analysis and visualization tools with your Jira data, providing enhanced insights and reporting capabilities for project and issue tracking.

1. How-to

1. Prerequisites

To configure the Jira connector, follow these steps:

  • An active Jira account with the necessary permissions to access the projects and data you want to import into Datagrid.
  • A Jira API key (Personal Access Token). You can generate this from your Jira account settings under "Apps."
  • Select the data you want to import into Datagrid

2. Connect

Creating a dataset from the Jira connector involves selecting the specific data you want to import via Jira:

  1. Connect Jira App: a. Click on the "+ Create” Button on the top left of the screen. b. Select the "Connect Apps" item. c. Search for the Jira connector from the list. d. Login with your Jira account. Jira may prompt you to authorize Datagrid's access to your Jira data. Grant the necessary permissions to proceed. e. Click on the “Next” button.
  2. Pick your Data: a. Pick the Jira data you want to include in your dataset (e.g., Issues, Projects, Users). b. Click the “Start First Import” Button to start syncing your Jira dataset.

3. Set Up a Schedule

Scheduling regular data pulls ensures your Datagrid datasets remain up-to-date with the latest information from Jira:

  1. Navigate to Jira Dataset: a. Go to the left side panel and locate and click on the Jira dataset you created.
  2. Schedule Settings: a. Click on the “...” on the top right of the dataset. b. Click on “Edit Pipeline” to edit your connector's name. c. Click the “Schedule” button on the right, beside the “Import Configuration” button.
  3. Configure Schedule: a. Set the desired frequency for data pulls (e.g., daily, weekly, monthly). b. Specify the time of day for the data pull to occur. c. Specify downtime if needed – when the sync should not happen. d. Click the “Update” button to update the new configuration.

2. Data Access

  • Issues
  • Projects
  • Users
  • Comments
  • Attachments
  • Worklogs
  • Sprints
  • Boards
  • Components
  • Versions

3. Use Cases

  • Issue Tracking and Resolution Analysis: Use Datagrid to analyze Jira's issue data to track key metrics such as issue resolution time, issue volume, and issue priority.
  • Project Performance Management: Integrate Jira's project data with issue data in Datagrid to track project progress, identify bottlenecks, and improve project outcomes.
  • Team Performance Analysis: Combine Jira's user data with issue data in Datagrid to track individual and team performance, identify top contributors, and optimize team effectiveness.
  • Sprint Planning and Retrospective Analysis: Use Datagrid to analyze Jira's sprint data to track sprint progress, identify areas for improvement, and optimize sprint planning.
  • Resource Allocation: Integrate Jira's user and project data with issue data in Datagrid to optimize resource allocation, identify over-allocated resources, and improve resource management.

4. FAQ

Q: What types of data can I import from Jira into Datagrid?

  • A: You can import a wide range of data, including issues, projects, users, comments, attachments, worklogs, sprints, boards, components, and versions.

Q: How often can I schedule data pulls from Jira?

  • A: You can schedule data pulls daily, weekly, or monthly, depending on your needs.

Q: What permissions are required to connect Jira to Datagrid?

  • A: You need an active Jira account with the necessary permissions to access the projects and data you want to import into Datagrid. Ensure you have the correct API key.

5. Support & Additional Resources