Connector Database / Jira
Analyze your Jira data with AI
Build interactive dashboards, generate automated reports, and unlock business intelligence insights from your Jira data with AI-powered assistant.
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Start with a question
Generate automated reports and business intelligence insights from your Jira data—as fast as you can ask them.
Build dashboards and data visualizations
Transform your conversation into dynamic data visualizations on an intuitive data canvas.
Integrate all your data
Unify your Jira data with DuckDB-powered data warehouse including Google Sheets, PostgreSQL and HubSpot.
Available Jira Data
Extracts Jira Cloud issue and project tracking data, including users, projects, issues (with fields, comments, changelogs, worklogs, watchers), agile boards and sprints, permissions and roles, permission schemes, workflows and statuses, resolutions, screens and screen schemes, dashboards, filters, groups, license metrics, and optional audit logs. Enables analysis of delivery throughput and cycle time, sprint velocity and team workload, SLA/compliance tracking, contributor activity, and governance/security auditing.
Issue
Core work items (bugs, stories, tasks) tracked in Jira; enables analysis of throughput, backlog health, SLA attainment, and lead/cycle times across teams and projects.
Project
Containers for related issues and teams; supports project-level KPIs such as delivery throughput, defect trends, and workload distribution, alongside team membership mapping.
Sprint
Time‑boxed iterations on Scrum boards; powers velocity, commitment vs completed, spillover, burn‑down, and predictability reporting.
Agile Board
Scrum or Kanban boards organizing work; used for cumulative flow, WIP monitoring, flow efficiency, and cross‑team portfolio views.
Worklog (Time Entry)
Individual time tracking entries on issues; supports capacity and utilization analysis, burn‑down of logged hours, and cost allocation by user, issue, or project.
Change Log Event
Atomic issue change records (status, assignee, fields) with timestamps; enables time‑in‑status, cycle/lead time, rework, and handoff/transition analytics.
Comment
User discussions on issues; supports responsiveness SLAs, collaboration intensity, and engagement trend analysis.
Watcher
Users subscribed to issue updates; helps identify stakeholder interest, risk hotspots, and visibility patterns via watcher counts and changes.
User (Contributor)
Jira user accounts linked to activity; enables contributor workload and productivity analysis, team segmentation, and attribution of worklogs and comments.
Audit Event
Administrative and security activity captured for compliance; supports governance reporting, access reviews, and detection of risky configuration changes.
Authentication Required
Authenticates with your Jira Cloud email and API token using HTTP Basic Auth
Getting started with
Jira Analytics & Business Intelligence
Connect your Jira data
Connect to Jira once and automatically sync data to your centralized data warehouse for real-time reporting and analytics.
Build business intelligence models
Create automated reports, dashboards, and data visualizations with customizable business logic and AI-powered insights for consistent analytics across your organization.
Generate reports and insights
Create interactive dashboards, automated reports, and data visualizations with AI-powered business intelligence. Share live analytics and scheduled reporting with your team.
Want to see how easy it is to get started?
Jira usersDefinite
People love Definite because it lets you focus on what matters. Setting up your own data infrastructure doesn't make your beer taste better. Skip the tedium and start at analytics.
I was leading the efforts of setting up a business intelligence function. I was surprised how complex this all was to do even today. It's something that every tech company would need at some point but it hasn't been simplified. You need a whole team focused on building a data warehouse, setting up the right pipelines, and then integrating a BI tool on top.Definite wasn't only the answer to this problem, it tackled the next problem I knew I'd have as soon as the BI tool was ready — how do we get non-technical teams and people to learn and utilise such a tool.
Our analytics before Definite consisted of dozens of Excel sheets that took hours to update. Manual updates led to errors. Everyone questioned the accuracy of the numbers. Many people just stopped looking at the reports.After Definite, everything ran like clockwork.We immediately saved thousands of dollars per month in the time spent updating reports and have built strategies (e.g. improved ROI on ad spend, inventory management, etc.) on the data that will yield millions to our bottom line.
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