Easy to Use Data Quality Workbench
- Design, build, and manage enterprise-wide data quality programs using this intuitive interface (similar to Microsoft Windows-based application interfaces)
- Drag more than 40 configurable data quality components onto the Workbench, amalgamate them to create data quality business rules, and configure them via drop-down menus
- Deploy data quality rules in real time and as batch processes to drive ongoing data quality processes
- Create reports and dashboards to confirm data quality improvement
Easy-to-Use Data Quality Assistant
- View, edit, and review low-quality records before they are written to the target using this Web-based tool
- Support an exception handling process for low-quality records or records with failed data quality business rules
- Take advantage of an interactive consolidation interface
- Track all changes for auditing
Robust Data Quality Profiling Capabilities
- Use business rules and reference data to analyze and rank data according to completeness, conformity, consistency, duplication, integrity, and accuracy
- Identify, categorize, and quantify low-quality data
Comprehensive Data Cleansing and Parsing Capabilities
- Cleanse, standardize, validate, enhance, and enrich all datatypes
- Standardize and validate mailing addresses for a wide range of countries
- Use business rules and reference data dictionaries to parse and standardize free-form text data elements
Flexible Data Matching Capabilities
- Identify relationships between data records to eliminate duplicates prior to consolidation
- Gain transparency and control over data quality using components that can be applied to any data field
- Apply data matching to any combination of master datatypes
- Easily identify members of common households or corporations
Open, Content-Based Reference Data Dictionaries
- Analyze and standardize content and implement data quality business rules using reference dictionaries
- Take advantage of extensive reference content
- Leverage full read/write capability and familiar Microsoft Excel-like functionality
- Create, edit, and enhance reference data dictionaries at any time
- Use data quality reports and scorecards to track improvements
Flexible, Scalable Deployment
- Deploy data quality processes across Windows, Linux, and UNIX platforms
- Execute data quality processes on the desktop, deploy as scheduled batch jobs, or run in real time as part of an application environment
- Handle all master datatypes, including customer, financial, inventory, and materials data
- Use Unicode compliance to handle global character sets
Full Integration with Informatica PowerCenter
- Manage full-scale, enterprise-wide data quality initiatives by leveraging Informatica PowerCenter
- Execute data quality and data integration processes in parallel using dynamic partitioning functionality
- Maximize the use of available hardware resources to handle high-volume matching and cleansing processes
- Trace data lineage with Metadata Manager
- Facilitate collaboration between business analysts and IT professionals to integrate data quality and data integration processes via a services-oriented architecture and Web services