Automated data quality processes
Offers an easy-to-use graphical user interface for specifying automated data quality processes: data investigation, standardization, matching and survivorship. Delivers investigation and analysis processing capabilities for free-form data. Lets you validate and monitor data in motion.
Standardization and matching
Provides a single set of standardization, cleansing, matching and survivorship rules executed in batch, real time or as a web service. Achieves high match rates with probabilistic matching technology and fuzzy matching capabilities. Delivers worldwide address standardization verification and enrichment capabilities including postal certification modules for the United States, Canada and Australia.
Delivers domain-agnostic data cleansing features for product data, phone numbers, email addresses, birth dates, events, and other comment and descriptive fields.
Integrates with other IBM InfoSphere components to deliver end-to-end data integration. Leverages shared metadata for greater consistency of information and to support impact analysis. Includes connectivity to sources/targets, centralized rule management and a parallel processing engine that scales to handle large volumes of data. Offers unified installation, deployment and source control for fast startup as well as integrated data quality and transformation functions.
Offers an enterprise exception monitoring system with a web-based dashboard. It features comprehensive search, filtering and drill-down capabilities to help you investigate quality issues. Lets you create business terms and information governance policies, and link them to quality rules that can be monitored.