Unified, Role-Based Data Quality Tools for All Stakeholders

Informatica Analyst
This easy-to-use, browser-based tool is designed to empower the business to proactively participate in data quality processes without needing IT intervention. It enables line-of-business managers, data stewards, and business analysts to:

• Profile, analyze, and create data quality scorecards
• Drill down to specific records with poor data quality to determine their impact on the business and how to fix them
• Monitor and share data quality metrics and reports by emailing a URL to colleagues
• Define data quality targets and valid reference data sets
• Specify, validate, configure, and test data quality rules
• Collaborate efficiently with IT developers to share profiles and implement data quality rules
• Identify anomalies and manage data quality exception records
• Track data quality targets on an ongoing basis
• Finally engage all the right people in improving data

Informatica Developer
This powerful, Eclipse-based data quality development environment enhances IT productivity. It enables IT developers to:

• Discover and access all data sources—whether they’re on premise, with partners, or in the cloud
• Analyze, profile, and cleanse data
• Define and model logical data objects
• Combine data quality rules with sophisticated data transformation logic
• Conduct midstream profiling to validate and debug logic as it’s developed
• Configure data quality services, provisioning data physically or virtually and at any latency
• Reuse all profiling and rule specifications from business analysts and data stewards across all applications and projects

Informatica Administrator
This easy-to-use, browser-based tool with centralized configuration and deployment capabilities for managing the data integration environment enables IT administrators to:

• Manage services and nodes, including configurations that support grid and high availability
• Oversee security and user management, including users, groups, roles, privileges, and permissions
• Perform advanced monitoring and logging

Shareable Bookmarks and Notes

• Allow all team members to easily communicate and share their findings, such as data profiles and data quality scorecards, by sending them via bookmarks and commenting in notes

Comprehensive Support for All Data and All Purposes

Accurate Global Matching and Address Cleansing

• Readily identify 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
• Global address cleansing for more than 240 countries with integrated geocoding to enrich the data

• Expand data quality with prebuilt rules for healthcare and financial services industries as well as the public sector

Versatile Data Quality for All Project Types

• Manage data quality across all data domains—including customer, product, financial, and asset—using one configurable development environment
• Reuse all data quality rules, reference data, and processes for all types of data integration projects to lower costs and support data governance

Open to All Applications

Universal Connectivity to All Data Sources

• Access and cleanse any data in any source—within the enterprise, in partners’ systems, or in the cloud—based on proven data integration connectivity
• Obtain, cleanse, and deliver data in any latency or mode (e.g., federated SQL, Web services, messaging, event-based alerts, ETL), depending on the application’s requirements
• Profile and cleanse a virtual view of data that has been federated across different data sources

Centralized Data Quality Rules for All Applications

• Build, test, and deploy data quality services to support all applications using a services-based architecture
• Manage data quality services centrally, independent of the applications, to promote reuse and support data governance
• Deploy data quality services in batch or real time, including point of entry, to prevent low-quality data from entering applications