Connect Zendesk to Pentaho: Dashboards in Minutes
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How to Visualize Zendesk Data in Pentaho
Kondado makes it simple to bring your customer support data into Pentaho without any technical complexity. By using our direct connection, you can replicate data from Zendesk directly into Pentaho, creating visual reports that help you track team performance and customer satisfaction. The setup requires no coding or intermediate databases, so business teams can start analyzing ticket trends immediately. You choose how often the data updates, whether every 5 minutes or daily, ensuring your dashboards always reflect current operations.
Kondado connects Zendesk to Pentaho through a direct integration that delivers 12 data pipelines with 235 fields, enabling automated updates on your preferred schedule without technical setup.
Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required
Once your Zendesk data is replicating into Pentaho, you can build custom dashboards that reveal insights across customer service operations. Analyze Ticket Metrics to monitor response times and resolution efficiency, or combine Satisfaction Surveys with Ticket Comments to understand what drives positive customer experiences. The Groups and Organizations pipelines let you segment performance by team or client, while Ticket History tracks how issues evolve over time. These visualizations turn raw support data into actionable business intelligence that helps managers identify training needs, optimize resource allocation, and improve customer retention strategies.
Try out all the features for free for 14 days
Zendesk data available in Pentaho
Available integrations
| Integration | Description |
|---|---|
| Closed and Deleted Tickets | Includes deleted tickets with fields like id, actor_id, and deleted_at, allowing analysis of previous status and ticket description. |
| Ticket Comments | Contains comments related to tickets, with fields like ticket_id, author_id, and created_at, along with the comment body. |
| Ticket Metrics Events | Records SLA metric events, including id, metric, and sla_target, allowing performance monitoring of tickets. |
| Groups | Lists groups with fields like id, name, and updated_at, along with information about the group's status and description. |
| Ticket History | Records ticket audits with fields like id, ticket_id, and created_at, along with metadata about the source and channel. |
| Jira Links | Information about links between tickets and Jira tasks, allowing integration and tracking of related tasks. |
| Tags | Contains information about tags associated with tickets, facilitating categorization and search of tickets by tag. |
| Ticket Metrics | Presents ticket performance metrics, including response time and resolution time, essential for efficiency analysis. |
| Organizations | Lists organizations with fields like id, name, and created_at, allowing management and categorization of tickets by organization. |
| Satisfaction Surveys (Scores) | Collects satisfaction survey results, including id, ticket_id, and score, essential for measuring customer satisfaction. |
| Tickets | Contains information about tickets, including id, status, and timestamps such as created_at and deleted_at. |
| Users | Stores data about users, including id, name, and contact information such as email and status. |
Try out all the features for free for 14 days
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