ARKRON

Loading

Arkron
Talk to Arkron

Reporting & Data

Reporting problems are not always caused by a lack of dashboards.

Often the issue begins earlier — inconsistent data, unclear structures, fields used differently across teams, or information spread across projects and systems.

Arkron helps organisations improve how Atlassian data is structured, queried, presented and connected to wider reporting requirements.

The first step is understanding what the organisation needs to know.

Arkron can work with stakeholders to define:

  • operational reporting requirements
  • management reporting
  • service performance
  • delivery visibility
  • workflow metrics
  • SLA reporting
  • portfolio views
  • data ownership
  • reporting audiences

This establishes the questions the reporting environment needs to answer.

Arkron can help structure reporting across Jira and Jira Service Management using the appropriate combination of:

  • Jira dashboards
  • filters
  • JQL
  • saved views
  • service reporting
  • operational metrics
  • SLA information
  • project and cross-project reporting

Reporting quality depends heavily on the underlying data.

Arkron can review how fields, statuses, categories, projects and other structures are being used to identify where inconsistent data is limiting reporting accuracy or usefulness.

Where reporting needs to combine Atlassian data with other business information, Arkron can help define how the data should be extracted, connected or integrated with the wider reporting environment.

This can include API-led approaches or external reporting platforms where appropriate.

Different audiences need different levels of information.

Arkron helps separate operational views from management reporting so each audience receives the level of detail relevant to the decisions they need to make.

  1. Jira dashboards do not provide the required visibility.

  2. Different teams report similar information inconsistently.

  3. Management reporting relies on manual spreadsheet consolidation.

  4. Service performance needs clearer visibility.

  5. Data needs to be combined across projects.

  6. Atlassian information needs to feed wider reporting platforms.

  7. Existing reports do not answer the questions stakeholders are asking.

  8. Data quality is limiting reporting accuracy.

Good reporting is not simply more charts.

It is the right information, structured clearly and presented at the level needed to support the decision.