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Informatica Data Quality offers a complete solution that provides end-to-end support for your growing data quality needs.
The easy-to-use Informatica Analyst Tool mimics the steps of the data management workflow with a fully customizable interface.
Understand the nature of your data and identify the relationships between various data objects.
Allows business users to build and test logical business rules without relying on IT.
Data standardization, validation, enrichment, de-duplication, and consolidation ensure delivery of high-quality information.
Incorporates human tasks into the workflow, allowing business users to review, correct, and approve exceptions throughout the automated process.
Empowers business users and facilitates collaboration between IT and business stakeholders.
Enables stakeholders to collaborate, build, and manage a common business vocabulary across the organization.
Creates visibility throughout your data transformation so you have a connected view of all data—from source to target.
A virtual data machine lets you build your data quality rules once, then deploy them to run directly on the Informatica Platform, in Hadoop, in the cloud, or even embedded in your applications
Ensure that all your data is clean and ready to use with Informatica Data Quality on Azure. This easy-to-use service lets business users define and manage the transformations that turn data into the trusted insights that guide your organization’s most important business initiatives—all without relying on IT.
Get the same Informatica Data Quality user experience on-premises and in the cloud. Quickly spin up and spin down AWS infrastructure resources based on your needs and seamlessly reuse your existing rules, mappings, and other investments across on-premises and cloud environments.
Data Quality Standard Edition | Data Quality Advanced Edition | Data Quality Governance Premium Edition | |
---|---|---|---|
Informatica Analyst (licensed by seat) | 100 | 100 | 150 |
Discovery Search | |||
Data Profiling | |||
Business Rule Builder | |||
Data Quality Transformation | |||
Exception Management | |||
Reference Table Management | |||
Data Quality Workflow | |||
Identity Match Option | Optional | ||
Data Domain and Enterprise Discovery | Optional | ||
Grid Computing and Partitioning | Optional | ||
Data Quality Web Services | Optional | ||
Universal Record ID | Optional | ||
Business Glossary | Upgrade | Upgrade | |
Metadata Manager | Upgrade | Upgrade |
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