Cross-System Data Validations
Ensure data consistency across your enterprise systems. Validate that SAP matches Salesforce, your MDM syncs correctly with ERPs, and your data warehouse reconciles with source systems.
Key benefits
See how this feature delivers value across your organization.
For Data Experts
- Cross-database join validations
- Business key matching rules
- Reconciliation scheduling
Business Impact
- Eliminate conflicting reports
- Unified customer/product views
- Trustworthy master data
- Reduce manual reconciliation
For Analysts
- Visual lineage mapping
- Root cause identification
- Cross-system traceability
IT & Compliance
- Audit-ready validation logs
- Policy-driven rules
- Approval workflows
How it works
Reconcile data across any combination of systems.
Connect Systems
Establish secure connections to multiple source systems.
- SAP ↔ Salesforce
- ERP ↔ MDM
- CRM ↔ Data Warehouse ↔ SAP
Define Relationships
Map business keys and define how records should match.
- Key field mapping
- AI Assisted SQL Cross System Rule Generation
- Transformation logic
Run Validations
Execute cross-system checks on schedule or on-demand.
- Batch validation
- Incremental checks
- Scheduled validation
Resolve Discrepancies
Review, investigate, and resolve data inconsistencies.
- Defect reports
- Resolution workflows
Connect Systems
Establish secure connections to multiple source systems.
- SAP ↔ Salesforce
- ERP ↔ MDM
- CRM ↔ Data Warehouse ↔ SAP
Define Relationships
Map business keys and define how records should match.
- Key field mapping
- AI Assisted SQL Cross System Rule Generation
- Transformation logic
Run Validations
Execute cross-system checks on schedule or on-demand.
- Batch validation
- Incremental checks
- Scheduled validation
Resolve Discrepancies
Review, investigate, and resolve data inconsistencies.
- Defect reports
- Resolution workflows
See it in action
Explore the interface and see how the feature works.
Discrepancy Investigation
Drill into specific discrepancies with side-by-side comparisons, field-level differences, and resolution options.
Neomir Cortex Cross-System
Create powerful cross-system validation rules with AI-assisted SQL generation to reconcile data across your entire enterprise ecosystem.
Real-world use cases
See how organizations solve data quality challenges.
Ensuring customer master data stays synchronized between ERP and CRM.
Before
Customer addresses differed between systems, causing shipping errors and duplicate communications.
After
Automated daily reconciliation catches sync failures within hours, with alerts to integration team.
Validating that master data changes propagate correctly to operational systems.
Before
Product updates in MDM took days to reach ERP, causing order fulfillment issues.
After
Real-time validation confirms propagation, with automatic escalation on failures.
Ensuring consistent use of reference data (currencies, countries, codes) across systems.
Before
Inconsistent currency codes caused financial reporting discrepancies.
After
Cross-system reference data checks ensure uniform usage across all applications.
Validating that aggregated data in the warehouse matches source system totals.
Before
Month-end reports didn't match source system totals, requiring manual investigation.
After
Automated reconciliation runs post-ETL, flagging discrepancies immediately.
Integrations & workflows
Connect to your existing tools and processes.
How it fits your workflow
Cross-system validations run on your schedule or triggered by data events. Results feed into your existing alerting and ticketing systems. Discrepancy resolution can be tracked end-to-end, with full audit trails for compliance.
Frequently asked questions
Get answers to common questions about this feature.
Ensure consistency across all your systems
See how cross-system validations can eliminate data discrepancies and build trust in your enterprise data. Book a demo to see it in action.