Monitor data quality continuously across your ERP, CRM and other business-critical systems. Identify and resolve bad data before it breaks processes or decisions.
MySQL
Microsoft Dynamics
Azure
Informatica
MySQL
Microsoft Dynamics
Azure
Informatica
MySQL
Microsoft Dynamics
Azure
Informatica
MySQL
Microsoft Dynamics
Azure
InformaticaIntegrates with your business critical systems
Organizations using Neomir see significant improvements in data reliability and operational efficiency.
Cut root-cause analysis from days to minutes
Minimize impact of data quality incidents
Stop bad data before it reaches operations and planning
Manual checks. Excel fixes. ERP workarounds. CRM cleanups. Your teams spend their time correcting data instead of running the business. Neomir helps fixing that.
Continuous monitoring of your data assets with rule-based quality checks. Get alerted when data quality degrades before it impacts downstream systems.
Validate data consistency across SAP, Salesforce, and other enterprise systems. Ensure your master data matches across all touchpoints.
Translate functional rule descriptions into technical SQL-based rules, bridging business users and IT with humans always in control.
Define validation rules tailored to your business logic. From simple checks to complex cross-field validations, full flexibility.
Neomir transformed how we manage data quality. We went from spending days investigating data issues to getting instant alerts and root-cause analysis. Our finance team finally trusts the numbers in their reports.
Neomir syncs immediately with your business-critical systems in realtime. Neomir was designed for fast time-to-value.
Integrate with SAP, Salesforce, databases, and 50+ data sources in minutes. No complex setup required.
Create custom validation rules or let Neomir AI suggest rules based on your data patterns.
Continuous monitoring with instant alerts via Teams, Email, Slack, or your preferred channels.
Built-in workflows to assign, track, and resolve data quality issues with full audit trails.