Continuous Data Quality Monitoring
Continuous monitoring of data assets through automated rule-based quality checks. Enforce schema and data contracts, track freshness and completeness SLAs, and catch issues before they impact your business.
Key benefits
See how this feature delivers value across your organization.
For Data Experts
- Enforce required fields and valid value ranges
- Define custom business rules with SQL or natural language
- Validate data consistency across systems
- Track quality trends over time
Business Impact
- Real-time alerts on rule failures
- Freshness and completeness SLA monitoring
- Prevent bad data from reaching reports
- Reduce firefighting and escalations
For Analysts
- Quality scores per dataset and domain
- Trend analysis and improvement tracking
- Self-service quality dashboards
- Drill-down from summary to root cause
IT & Compliance
- Assign data owners per dataset or rule
- Route issues to the right team automatically
- Track resolution times and escalations
- Complete audit trails for all checks
How it works
From connection to insight in four simple steps.
Connect Sources
Connect to your enterprise systems and relational databases.
- SAP, Salesforce, Oracle
- PostgreSQL, MySQL, SQL Server
- Any JDBC/ODBC-compatible database
Define Rules
Configure quality rules for completeness, freshness, accuracy, and SLAs.
- Freshness & completeness checks
- Valid values & business rules
- Cross-field & cross-system validation
Monitor Continuously
Run checks continuously or on schedule based on your SLAs.
- Real-time rule evaluation
- Scheduled batch validations
- Quality scorecards & trends
Alert & Assign
Route issues to the right owner with clear accountability.
- Ownership-based routing
- Slack, Teams, Email alerts
- Resolution tracking & escalation
Connect Sources
Connect to your enterprise systems and relational databases.
- SAP, Salesforce, Oracle
- PostgreSQL, MySQL, SQL Server
- Any JDBC/ODBC-compatible database
Define Rules
Configure quality rules for completeness, freshness, accuracy, and SLAs.
- Freshness & completeness checks
- Valid values & business rules
- Cross-field & cross-system validation
Monitor Continuously
Run checks continuously or on schedule based on your SLAs.
- Real-time rule evaluation
- Scheduled batch validations
- Quality scorecards & trends
Alert & Assign
Route issues to the right owner with clear accountability.
- Ownership-based routing
- Slack, Teams, Email alerts
- Resolution tracking & escalation
See it in action
Explore the interface and see how the feature works.
Data Quality Dashboard
Get a bird's-eye view of your data quality across all your connected sources with quality scores aggregated by dimension and data product. Track data quality and improvements over time.
Real-world use cases
See how organizations solve data quality challenges.
Ensuring critical master data refreshes within defined SLAs.
Before
Reports showed outdated pricing data for 3 days before anyone noticed, causing billing errors.
After
Freshness rule alerts within 1 hour of SLA breach, routed to the data owner for resolution.
Enforcing required fields are populated for campaign targeting.
Before
30% of leads missing email addresses, discovered only after failed campaign sends.
After
Completeness rules flag incomplete records immediately with clear ownership.
Ensuring customer data matches across multiple systems.
Before
Customer addresses differed between SAP and Salesforce, causing shipping errors.
After
Cross-system validation rules flag mismatches immediately for stewardship review.
Ensuring data conforms to expected formats and business rules.
Before
Invalid country codes caused integration failures with shipping provider.
After
Value validation rules catch non-conforming data at ingestion.
Integrations & workflows
Connect to your existing tools and processes.
How it fits your workflow
Neomir integrates seamlessly into your existing data infrastructure. Connect to your sources, configure rules and SLAs, and route issues to the right owners. Quality scorecards assure stakeholder visibility.
Frequently asked questions
Get answers to common questions about this feature.
Start monitoring your data quality today
See how continuous monitoring can prevent data issues before they impact your business. Book a demo to see it in action.