Question 1

Is Neomir suitable for business partner data quality?

Accepted Answer

Neomir can monitor business partner data quality (completeness, accuracy, duplicates), but it doesn't offer CDQ's specialized content like pre-built validation rules for DUNS numbers or tax IDs. If you need deep business partner data expertise and shared data pools, CDQ is purpose-built for that use case.

Question 2

Can Neomir work alongside CDQ?

Accepted Answer

Yes, they can be complementary. CDQ can handle specialized business partner data cleansing and enrichment, while Neomir provides broader data quality monitoring across your entire data estate. Many organizations use specialized tools for specific data domains.

Question 3

Can Neomir run alongside CDQ?

Accepted Answer

Yes, many customers run Neomir in parallel with their existing CDQ deployment during evaluation or transition. Neomir can monitor the same data sources without interfering with existing tools.

Question 4

How long does migration typically take?

Accepted Answer

Most customers are up and running with Neomir within 1-2 weeks. Migration from CDQ typically takes 2-4 weeks depending on the complexity of your existing rules and configurations.

Question 5

Can you import our existing rules from CDQ?

Accepted Answer

We can help you migrate your existing data quality rules. Our team will work with you to understand your current setup and recreate or improve upon your rules in Neomir.

Question 6

What support do you provide during migration?

Accepted Answer

We provide dedicated onboarding support including: rule migration assistance, integration setup, training for your team, and a dedicated success manager for the first 90 days.

Question 7

How does pricing compare to CDQ?

Accepted Answer

Neomir offers transparent, usage-based pricing that's typically 40-60% less than traditional enterprise data quality tools. Contact us for a detailed comparison based on your specific usage.

Feature	Neomir	CDQ
Data Quality Monitoring	Continuous, cross-system	Business partner data focus
Cross-System Validation	Any data source	SAP-centric
AI/ML Capabilities	Rule generation, anomaly detection	Matching & deduplication
Implementation Time	1-2 weeks	4-12 weeks
Target User	Data teams & business users	MDM teams, SAP users
Pricing Model	Usage-based	Enterprise subscription
Business Partner Data	General purpose	Specialized content
SAP Integration	Connector available	Deep SAP focus
Data Pools		Shared data communities

Neomir vs CDQ

Feature Comparison

Migration & Coexistence FAQ