Find and fix the data quality problems—wherever they are—that cost your company millions. Leave no domain, no application, no geography uncovered. Get all the right people on board, and help them take responsibility. Get the data clean, and keep it clean.

Informatica Data Quality transforms the way your business works. It enables everyone to trust all your data, for all your needs, all the time.

Informatica Data Quality extends the existing data quality capabilities of the Informatica Platform to deliver pervasive data quality to all stakeholders, all projects, and all data domains for all projects and all business applications—on premise or in the cloud—using a single, unified platform.

With Informatica Data Quality, your entire organization can:

• Proactively cleanse the data for all applications and keep it clean
• Share in the responsibility for data quality and data governance
• Build confidence and trust in enterprise data

Unified, Role-Specific Tools for All Stakeholders
Informatica Data Quality makes the business more self-sufficient and IT more productive. Line-of-business managers, business analysts, and data stewards can participate more proactively in data quality processes. They can analyze data and define data rules themselves—decreasing dependence on limited IT resources—using a set of simple, browser-based tools designed specifically for them. IT organizations get a single, unified, highly productive environment for data profiling, cleansing data, and managing data quality rules that can be reused across all data integration projects. By using a set of collaborative features and by sharing a common set of rules and metadata across the enterprise, the business and IT can work more efficiently together to complete projects in days rather than months.

Comprehensive Support for All Data and All Purposes
Informatica Data Quality extends data quality everywhere. Highly accurate global matching and address cleansing—with locale–aware, prebuilt rules and reference data—extend data quality to any geography. Apply data quality to any datatype—customer, product, financial, and asset. And reuse data quality rules across all kinds of data integration projects—such as data migration, data consolidation, and master data management projects—as well as data quality projects.

Open to All Applications
Informatica Data Quality leaves no application out. Connect to any type of data source—whether on premise, with partners, or in the cloud—using proven data integration technology. Then use centralized data quality rules to improve data quality in all applications—no matter what kind of data they contain or whether they are capturing, moving, or consuming the data. SOA-based data quality services—including profiling, cleansing, address validation, matching, and monitoring services—block low-quality data at the point of entry and as part of scheduled batch processes.

Unified, Role-Specific Tools for All Stakeholders

Easy-to-Share, Browser-Based Scorecards

• Enable line-of-business managers to track and share data quality metrics, trends, and reports by simply emailing a URL to colleagues
• From the scorecard, drill down to the specific poor data quality records to determine the impact on the business and the necessary remedial actions

Easy-to-Use Profiling and Rule Specification

• Equip business analysts and data stewards with their own set of specially designed, browser-based tools for:

• Profiling, analyzing, and creating scorecards of data
• Defining data quality targets and valid reference data sets
• Specifying, validating, configuring, and testing data quality rules, and collaborating with IT to implement the rules
• Identifying anomalies and managing data quality exception records
• Tracking data quality targets on an ongoing basis

Productive Development Environment with Midstream Profiling

• Equip IT developers with their own powerful data quality development environment for:

• Profiling and cleansing data
• Configuring data quality services
• Reusing all the profiling and rule specifications from business analysts and data stewards
• Combining data quality rules with sophisticated data transformation logic
• Viewing and rapidly profiling at midstream the output of any transformation at any stage of any mapping to instantly test and debug logic

Shareable Bookmarks and Notes

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

Comprehensive Support for All Data and All Purposes

Accurate Global Matching and Address Cleansing

• Easily identify duplicate customer data across different global locations and languages with:

• Locale-aware, prebuilt data matching rules for customer data 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 the 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 datatypes—using a single, 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
• Access, 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

Informatica Data Quality Benefits

Lower Costs

• Reduce costs by reusing a single set of rules and tools and one development environment for managing data quality:

• In all applications
• For all data domains
• Across all countries and languages
• For all data integration projects

Operate More Efficiently

• Enable business analysts and data stewards to see, influence, and react to the impact of data quality on their applications and processes
• Solve business problems faster by empowering the business to participate in data quality processes
• Ease reliance on IT by giving business analysts the appropriate tools to manage data quality tasks themselves
• Collaborate more efficiently to design and implement the data rules needed to meet the business’s needs, in days rather than months
• Confidently support compliance initiatives with high-quality data

Enhance IT Productivity

• Speed up the specification and review cycle between IT and the business via collaboration tools and a common project environment
• Access all data quickly to complete data quality projects faster
• Easily build, centrally manage, and rapidly deploy reusable data quality rules across all applications
• Accelerate project rollout by building data quality mappings within a familiar development environment that provides data profiling and prebuilt rules for matching and address cleansing
• Quickly validate data quality transformations using midstream profiling
• Deploy data quality rules in batch or real time, without recoding

Reduce Risks

• Identify, resolve, and prevent data quality problems before they cost your company customers and competitive advantage
• Build long-term sustainable data quality processes and trust in all enterprise data
• Increase confidence in enterprise data by enforcing data quality consistently in all applications across the globe, in support of data governance
• Decrease the risk of outages by relying on technology that’s proven for enterprise-grade deployments