Consulting Services
Atlassian Business Intelligence and Reporting Consulting Services
Turn Jira, Confluence, and Jira Service Management data into leadership-ready insights without manual spreadsheet consolidation. This service delivers KPI frameworks, scalable Jira dashboards, and EazyBI reporting that supports executive decisions and operational control across the Atlassian Cloud platform.
Atlassian Business Intelligence and Reporting Consulting Services for Jira, Confluence, and JSM
Atlassian reporting often breaks down when teams define KPIs differently, dashboards don’t scale across projects, and leadership relies on manual status packs. This service establishes a governed reporting model for Jira and Jira Service Management, with Confluence reporting pages for recurring governance and stakeholder updates. The result is consistent KPIs, faster reporting cycles, and trusted trends that remain comparable as Atlassian adoption grows.
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Outcomes & Scope
Executive Visibility
Executive dashboards that show performance, risk, and trends across Jira and Jira Service Management. Drill-down connects leadership views to real work items for faster decisions.
KPI Standardization
A shared KPI catalogue with consistent definitions, filters, and thresholds across teams and business units. Comparable reporting becomes possible without forcing identical Jira workflows.
Reporting Architecture
Standardized fields, mappings, and dimensions for reliable rollups across Jira and JSM. A clean reporting foundation reduces rework and keeps dashboards accurate as usage scales.
EazyBI Reporting
EazyBI dashboards and reports for multi-dimensional analysis and historical trends. Advanced calculations support enterprise questions that basic Jira gadgets cannot answer.
Confluence Reporting
Confluence reporting pages that combine narrative updates with live Jira and EazyBI dashboards. Stakeholders receive a consistent format for weekly and monthly governance.
Governed Scale
Governance for metric ownership, data quality checks, and controlled KPI changes. Reporting stays trustworthy over time and across organizational change.
Deliverables
- KPI catalogue with definitions, filters, thresholds, and ownership
- Jira and JSM reporting architecture standards for consistent rollups
- Executive and operational Jira dashboard pack with drill-down views
- EazyBI reporting pack for advanced analytics and historical trends
- Confluence reporting templates for governance and recurring updates
- Data quality checklist and reporting guidelines for scalable adoption
- Governance model for KPI changes and dashboard lifecycle management
What’s Included
- Reporting discovery focused on Atlassian stakeholders, decisions, and priority dashboards
- KPI catalogue definition with metric rules, filters, thresholds, and ownership
- Jira and JSM reporting model setup with standard fields, mappings, and dimensions
- EazyBI dashboard build with reusable packs for executive and operational reporting
- Confluence reporting structure for recurring governance and stakeholder updates
- Data quality guidance to improve trust and reduce manual corrections
- Enablement for dashboard consumers and report builders to scale adoption safely
- Governance cadence for KPI changes, dashboard lifecycle, and continuous improvement
Approach
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1. Discover OKRs
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2. Design KPIs
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3. Build Dashboards
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4. Validate Results
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5. Operationalize Governance
Align reporting goals to OKRs and define the decisions dashboards must support. Confirm stakeholder needs and the current gaps in Jira and JSM reporting.

Define KPI definitions, filters, and thresholds that measure OKR progress consistently. Set dashboard standards so reporting stays comparable across teams.

Deliver dashboard packs in Jira and EazyBI with drill-down for actionability. Keep designs reusable so new teams can be onboarded faster.

Review dashboards with stakeholders and confirm metrics reflect operational reality. Refine definitions and views before scaling across departments.

Introduce KPI ownership, refresh cadence, and change control for reporting updates. Maintain trust with data quality checks and continuous improvement loops.

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Read MoreFrequently Asked Questions
EazyBI is most useful for historical trends, custom calculations, multi-dimensional analysis, and reusable dashboard packs beyond standard Jira gadgets.
gration and data alignment, governance, and a roadmap that stays connected to delivery and change control.
Standardization uses shared KPI definitions, mapping rules, and filters so teams keep local workflows while reporting remains comparable enterprise-wide.
Executive-ready service reporting uses consistent SLA definitions, workload metrics, and trend dashboards that roll up across services, regions, and teams.
Yes. Confluence reporting pages provide a consistent format for stakeholder updates where narrative and live dashboards can be reviewed together.