The  **Data Quality Monitor**  application is built for ServiceNow platform owners, product owners, ITSM / SPM leaders, and enterprise architects who need a structured way to detect, track, and remediate  **data quality issues**  across the platform.

 

ServiceNow implementations often suffer from:

- Incomplete or inconsistent records
- Orphaned or stale tasks and demands
- Misaligned values across key tables (e.g. Incident, Problem, Change, Demand)
- Data that breaks reporting, SLAs, or governance rules

 

Data Quality Monitor addresses these challenges by providing  **out-of-the-box data quality controls**  for 40+ common patterns, an end-to-end  **issue lifecycle** , and real-time notifications – all built natively on ServiceNow and extended via  **Flow Designer**  without custom code. New monitors can also be implemented for other domains / tables via self-service

 

Key benefits include:

- Fewer “bad” records flowing into reports and dashboards
- Improved MTTR – not only for incidents, but for  **data defects**  that cause downstream issues
- Reduced manual checks and spreadsheets for data validation
- Better governance and auditability for platform and process owners

 

The application leverages standard ServiceNow concepts (tables, records, assignments, flows, notifications, dashboards) so it behaves like a natural extension of the platform rather than a separate monitoring tool.

**1. Data Quality Dashboard**

A central dashboard for data stewards, platform owners, and process owners to see:

- Open data quality issues by table / process (e.g. Incident, Change, Demand, etc.)
- Issues by age (active data quality issues)
- Top data quality patterns causing the most noise
- Total data quality issue counts (active data quality issues)

 

**2. Data Quality Issue Record**

A dedicated record type to track each detected data quality issue, including:

- Impacted table and record (e.g. Incident, Change, Demand, etc.)
- Data quality rule that triggered the issue
- Assigned group / owner
- Status and lifecycle (e.g. On Hold, In Progress, Resolved)
- Audit history of all actions (updates, reassignments, comments)

 

This provides a  **task-like experience**  for managing data defects with full traceability for audits and compliance.

 

**3. Preconfigured Data Quality Rules Library**

An extendable library of  **40+ predefined data quality controls** , for example:

 

- Records missing critical fields (e.g. priority, assignment group, service, CI)
- Inconsistent values across related records (e.g. misaligned priorities or categories)
- Stale records (e.g. no updates for X days)
- Orphaned records (e.g. related items deleted or status mismatches)

 

Rules are delivered as  **no-code, configurable patterns**  and can be extended or cloned using  **Flow Designer**  and standard configuration, without scripting.

 

**4. Automated Detection & Lifecycle Handling**

Data quality issues can be detected via:

- **Scheduled executions**  (e.g. regular checks across core tables)
- **Manual executions** (e.g. triggered by user)

 

Once detected, issues are automatically:

- Created as Data Quality Issue records
- Classified (severity, rule type, impacted area)
- Assigned to the right team / user based on configurable logic
- Progressed through the lifecycle based on actions and validations

 

This ensures consistent handling of data problems instead of ad hoc email or spreadsheet-based follow-up.

 

**5. Notifications & Collaboration**

The application uses standard  **ServiceNow notifications**  and activity streams:

- Daily and weekly emails are sent for assigned active data quality issues.

 

This keeps the right people informed while staying within ServiceNow’s standard UX.

 

**6. Governance & Audit Trail**

Every data quality issue maintains a complete  **audit trail** :

- When and how it was detected
- Who owned and worked on the issue
- What decisions were made (e.g. fixed, accepted, or rejected)

 

This supports  **governance, risk, and compliance**  reporting and makes platform decisions transparent for internal and external auditors.

 

**7. Application Modules (Navigation)**

Typical modules under the application menu include:

- **Issue Dashboard**
- **All Issues**
- **My Issues**
- **Issue Rules**

 

These can be adapted to match your internal naming conventions and role structure.