Softvase governance templates
Data Quality Issue Template
A structured issue template for capturing, triaging, prioritizing, resolving, and reporting data quality problems.
Executive value
Faster triage, stronger accountability, better impact analysis, and reusable quality intelligence.
Practitioner value
Provides the fields, roles, workflow steps, and controls needed to operate governance consistently.
Best audience
Data stewards, data owners, analytics teams, operational teams
Template fields
| Field | Purpose |
|---|---|
| Issue title | Creates a controlled input for ownership, review, tracking, or decision support. |
| Impacted asset | Creates a controlled input for ownership, review, tracking, or decision support. |
| Severity | Creates a controlled input for ownership, review, tracking, or decision support. |
| Business impact | Creates a controlled input for ownership, review, tracking, or decision support. |
| Owner | Creates a controlled input for ownership, review, tracking, or decision support. |
| Root cause | Creates a controlled input for ownership, review, tracking, or decision support. |
| Resolution plan | Creates a controlled input for ownership, review, tracking, or decision support. |
| Due date | Creates a controlled input for ownership, review, tracking, or decision support. |
| Status | Creates a controlled input for ownership, review, tracking, or decision support. |
Expandable guidance
Data quality issues are often raised informally and lost in email or chat. This template creates a governed issue record with ownership, severity, impact, root cause, and resolution.
Workflow diagram
Use this as the front-end operating model for intake, review, approval, implementation, and follow-up.
Swimlane view
This view shows how executives, stewards, governance teams, and platform teams participate without role confusion.
Role
Issue logged
Impact assessed
Owner assigned
Root cause reviewed
Fix implemented
Closure validated
Business Owner
Request or approve
Validate business need
Confirm accountability
Approve final decision
Own action
Confirm closure
Data Steward
Review metadata
Check definitions
Validate classification
Log issues
Track status
Update record
Governance Office
Apply standard
Review risk
Resolve conflicts
Escalate if needed
Measure KPI
Publish outcome
Platform Team
Confirm platform fit
Check access
Validate source
Support implementation
Monitor control
Retire if needed
Success measures
Issue agingCritical issue countResolution SLARecurring issue rate
Implementation conversation
Use this to turn data quality complaints into governed remediation.