Data Quality

Instill Trust in the Quality of Your Data

Informatica Data Quality delivers authoritative and trustworthy data quality to all stakeholders, projects, and data domains and for all projects and business applications—on premise or in the cloud—using a single, unified platform. It transforms the way your business works by instilling trust in all your data, for all your needs, at all times.

• Proactively monitor and cleanse the data for all applications and maintain its clean state
• Enable the business to share in the responsibility for data quality and data governance
• Achieve better business outcomes with trusted enterprise data

• Magic Quadrant for Data Quality Tools

Informatica Data Quality Key Features

Accurate Global Matching

• Readily identifies duplicate customer data across different global locations and languages with locale-aware, prebuilt data matching rules for customer data, available for more than 60 countries
• Expands data quality with prebuilt rules for healthcare and financial services industries as well as the public sector

Worldwide Address Cleansing

• Cleanses addresses for as many as 240 different countries with integrated geocoding to enrich the data
• Utilizes the most comprehensive and up-to-date global postal reference data

Versatile Data Quality for All Project Types

• Manages data quality across all data domains—including customer, product, financial, and asset—using one configurable development environment
• Reuses all data quality rules, reference data, and processes across all types of data integration projects

Universal Connectivity to All Data Sources

• Accesses and cleanses any data in any source—within the enterprise, in partners’ systems, or in the cloud—based on proven data integration connectivity
• Obtains, cleanses, and delivers data in any latency or mode (e.g., federated SQL, Web services, messaging, event-based alerts, and ETL), depending on the application’s requirements

Centralized Data Quality Rules for All Applications

• Builds, tests, and deploys data quality services to support all applications on a services-based architecture
• Manages data quality services centrally, independent of the applications, to promote, reuse, and support data governance