How do I set up the Jira connection on Kondado for Qlik Cloud Analytics?

Log into Kondado and select Jira as your data source. You only need your Jira account credentials to authorize the connection. The process takes just a few minutes and requires no server configuration or intermediate databases.

What dashboards can I build in Qlik Cloud Analytics with Jira data?

You can create sprint velocity dashboards, issue lifecycle analysis, and team workload tracking. The Projects and Status pipelines let you visualize delivery pipelines in progress, while custom fields help segment data by priority or issue type.

How frequently does Jira data update in Qlik Cloud Analytics?

The schedule is configurable based on your needs: every 5 minutes, 15 minutes, hourly, or daily. This ensures automated data updates without overwhelming the Jira API, keeping your Qlik Cloud Analytics reports current with operational reality.

Which Jira KPIs can I track in Qlik Cloud Analytics?

Track lead time, cycle time, sprint completion rates, issues per assignee, and average time in each status. The Change History and Sprints pipelines provide precise metrics about productivity and delivery predictability.

Are there any pre-built dashboard templates for Jira in Qlik Cloud Analytics?

We do not offer pre-built templates, but you can build custom dashboards combining the 13 available pipelines. Many customers create standard burn-down charts and cumulative flow diagrams using the Sprints and Boards Column Configuration fields.

How do I share Jira dashboards with my team in Qlik Cloud Analytics?

After creating your dashboards in Qlik Cloud Analytics, use the tool's native sharing features to distribute to marketing managers and operations teams. You can also replicate the same data to Google Sheets or Power BI if alternative formats are needed.

Can I send Jira data to tools other than Qlik Cloud Analytics?

Yes, besides Qlik Cloud Analytics, you can send your Jira data to BigQuery , PostgreSQL , Power BI , Looker Studio , Google Sheets , MySQL, Excel, Redshift, SQL Server, or Amazon S3.

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Visualize Jira Data in Qlik Cloud Analytics

How to visualize Jira data in Qlik Cloud Analytics? Kondado lets project managers and operations teams connect their Jira projects directly to Qlik Cloud Analytics without any technical expertise. Simply configure the data source on the platform, select the desired pipelines including Projects, Issues, and Sprints, and set your preferred update schedule ranging from every 5 minutes to daily.

Kondado automatically replicates 165 fields from 13 Jira pipelines, including Projects, Issues, Sprints, and Change History, enabling you to build comprehensive dashboards in Qlik Cloud Analytics to track deadlines, assignees, and agile project progress.

With Kondado, data analysts and team leaders transform raw Kanban and Scrum methodology information into clear visualizations that facilitate quick decisions about resource allocation and delivery timelines.

Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required

Combining the Issues, Sprints, and Boards Column Configuration pipelines in Qlik Cloud Analytics allows sales leaders and operations teams to visually track workflow and identify cycle time bottlenecks. By blending Change History data with Activity Logs, you can create detailed productivity analyses showing who modified statuses and when, while the Issues Links pipeline reveals critical dependencies between projects.

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Jira data available in Qlik Cloud Analytics

available pipelines

165

extractable fields

Available integrations

Integration	Description
Boards	Includes fields such as id, name, and type of the board, along with the associated project ID.
Boards Column Configuration	Presents fields such as column name, board ID, and status URL, allowing insight into the board's structure.
Boards Issues Relationship	Shows the relationship between issues and boards with fields such as issue ID and issue key.
Boards Sprints	Includes information about sprints, such as sprint ID, start date, and sprint state.
Issues	Contains fields such as issue ID, key, due date, and current status, enabling task management.
Issues Custom Fields	Allows the inclusion of custom fields for issues, facilitating the customization of information.
Issues Change History	Records changes with fields such as changelog ID, change date, and change author.
Issues Web Links	Includes links related to issues, allowing quick access to external resources.
Issues Activity Logs	Provides activity logs with fields such as issue ID and activity date, useful for auditing.
Issues Links	Presents links between issues, allowing visualization of relationships and dependencies between tasks.
Projects	Includes fields such as id, project name, and project type, enabling effective viewing and management of ongoing projects.
Sprints: relationship with issues	Presents fields such as sprint id, board id, and sprint state, facilitating the tracking of progress for related tasks.
Status	Contains information on id, status name, and description, allowing understanding of the current state of tasks and their lifecycle.

Boards

Includes fields such as id, name, and type of the board, along with the associated project ID.

Boards Column Configuration

Presents fields such as column name, board ID, and status URL, allowing insight into the board's structure.

Boards Issues Relationship

Shows the relationship between issues and boards with fields such as issue ID and issue key.

Boards Sprints

Includes information about sprints, such as sprint ID, start date, and sprint state.

Issues

Contains fields such as issue ID, key, due date, and current status, enabling task management.

Issues Custom Fields

Allows the inclusion of custom fields for issues, facilitating the customization of information.

Issues Change History

Records changes with fields such as changelog ID, change date, and change author.

Issues Web Links

Includes links related to issues, allowing quick access to external resources.

Issues Activity Logs

Provides activity logs with fields such as issue ID and activity date, useful for auditing.

Issues Links

Presents links between issues, allowing visualization of relationships and dependencies between tasks.

Projects

Includes fields such as id, project name, and project type, enabling effective viewing and management of ongoing projects.

Sprints: relationship with issues

Presents fields such as sprint id, board id, and sprint state, facilitating the tracking of progress for related tasks.

Status

Contains information on id, status name, and description, allowing understanding of the current state of tasks and their lifecycle.

See all available data →

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How to create Jira dashboards in Qlik Cloud Analytics

Visualize your data automatically — no spreadsheet exports or custom scripts.

Connect Jira as data source

Log into Kondado, select Jira as your data source, and authorize the connection with your Atlassian credentials. Choose which pipelines such as Projects, Issues, or Sprints you want to replicate.

Select Qlik Cloud Analytics destination

Set Qlik Cloud Analytics as your visualization tool and configure the data update frequency. You can also send the same data to Power BI or BigQuery simultaneously.

Build dashboards and configure refresh

In Qlik Cloud Analytics, use the replicated fields to build your custom dashboards. Adjust the replication frequency in Kondado to keep your analyses automatically updated as your projects evolve.