Cloud Data Quality

Quickly identify, fix, and monitor data quality problems in your cloud and on-premises business applications.


Key Features

Informatica Cloud Data Quality’s intelligent self-service approach enables you to cleanse, standardize, and enrich all data using an extensive set of prebuilt data quality rules that includes address verification.

Data discovery

Profile data and perform iterative data analysis to understand the nature of your data and better detect problems.

Rich set of data quality transformations

Ensure delivery of high-quality information with data cleansing and standardization, verification, and enrichment capabilities.

Pre-built, reusable rules and accelerators

Accelerate projects with a comprehensive set of pre-built business rules and accelerators; reuse common data quality rules across any data from any source to save time and resources.

De-duplicate records

Analyze the level of duplication across all records in a data set and consolidate duplicates into a single, preferred record.

Flexible patterns

Enrich and standardize any data from multi-cloud and on-premises sources for all use cases and for all workloads across the enterprise.

AI-powered automation

Automate generation of data quality measurements based on business rule definitions associated to a term or a critical data element.

Monitor the data

Continuously monitor and track data quality across source systems over time.

Modern API-based microservices architecture

Leverage a modular, agile approach to implementing data quality for faster integration and flexible deployment.

Customer Success Stories

Jodi Morton, Vice President of Single Family Data Governance...

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