What is Data Quality?
Data quality is achieved when data fits the purpose it is intended for. High-quality data accurately describes real-world entities and scenarios.

Improve Customer Relationships
Market leaders across industries know that the key to better customer relationships is personalization and service. Improve the accuracy of your customer data with deduplication, cleansing, and standardization—then enrich it using third-party address, email, and phone verification services that improve your knowledge and ability to deliver flawless service.

Implement a Data Quality Firewall
Address data inconsistencies and errors before they pollute downstream systems. Implement consistent and reusable data quality services that profile, verify, and cleanse data when it enters your network through apps, streams, message queues, and batch interfaces.

Enable Data Governance and Compliance
Support data stewards in enforcing data governance policies and maintaining regulatory compliance with software that profiles, classifies, and automatically fixes problems. Use workflow-driven processes for managing anomalies requiring human intervention.

Democratize with Confidence
Further democratize data use and reduce IT burden by insulating business users from the complexity of cleansing and normalizing data. Apply standardized data quality processes and ensure that only reliable data is delivered at the right time to inform business decisions.