Introduction to missions

Missions in the DQC Platform are collaborative initiatives designed to continuously improve data quality in a structured and goal-oriented way. They help teams focus their efforts on the most critical datasets and involve the right participants to resolve data issues efficiently.

Why use missions?

Missions are ideal for datasets that are:

• Business-critical

• Frequently used in decision-making

• Known to contain significant data issues

They are typically aligned with specific objectives such as:

• “Increase data quality score by 20%”

• “Prepare for the product launch by fixing missing fields in key records”

Each mission is based on a tailored ruleset for a table, ensuring the scope is focused and results are measurable.

How missions work

• Data quality issues are grouped into task packets

• Participants are assigned issues based on their role or expertise

• AI-generated fix suggestions are provided where possible

• Users confirm, reject, or manually correct issues

• All progress is tracked and visible to mission owners

Continuous engagement

Missions are not one-time efforts—they’re built to drive long-term improvement. Features include:

• Regular issue send-outs to participants

• Progress tracking via dashboards

• Gamification options like points and leaderboards to motivate users

Notes

• Missions are set up from the Missions tab in the DQC Platform

• You can define participants, schedule, and messaging per mission

• Learn more: Setting Up a Mission, Data Quality Rules and Rule Sets