Configurations for data quality

The article provides an overview of settings to ensure your data is accurate in Swarmia and links you to further reading and the related settings in the Swramia app.

Data quality is crucial for building trust in engineering intelligence tools and ensuring sound decision-making. Teams often work differently—using Scrum, Kanban, or other practices—which can lead to inconsistencies. Issues like mismatched user identities, inconsistent issue tracking, or conflicting label usage can impact data reliability. That’s why we prioritize accurate and transparent data by showing what's behind each metric, automating the setup whenever possible, and offering tools to close any quality gaps that might remain.

Organization settings

At the Swarmia organization level, you integrate your tools, configure global settings, and organize your contributors into Swarmia teams. At the team level, you ensure the right issues and pull requests are assigned to teams.

Team settings

Once the organization-level settings are ready, you and the teams can proceed with team-level settings to ensure the right issues and pull requests are assigned to each team.

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