IBM InfoSphere® QualityStage® is designed to support your data quality and information governance initiatives. It enables you to investigate, cleanse and manage your data, helping you maintain consistent views of key entities including customers, vendors, locations and products. The solution helps you deliver quality data for your big data, business intelligence, data warehousing, application migration and master data management projects. Also available for IBM System z®.
Provides capabilities including data profiling, standardization, probabilistic matching and data enrichmen
Delivers data quality functions as part of a complete information integration platform
Enables cross-organization capabilities to support your information governance policies
Embed data integration, quality and availability into your data lake environment to accelerate exploration and unlock insights.
One of the most effective modernization approaches is offloading EDW data and ETL workloads to an Apache Hadoop data lake.
Use deep data profiling and analysis to provide understanding of the content, quality and structure of tables and files. This includes column analysis, data classification, data quality scores, relationship analysis, multicolumn primary key analysis and overlap analysis.
Control the ingestion of “bad” data by running data quality rules as data is being transformed and before you load it into the data warehouse, data lake or into applications. Use more than 200 built-in rules to route data to the right person to be fixed to make sure the data is trusted.
Identify where personally identifiable information (PII), sensitive and other classes of data are stored. You can also identify the type of data contained within a column using more than 250 built-in data classes, including credit card, taxpayer IDs and US phone numbers. Create and customize three types of data classes: valid values list, regular expression (regex) and Java class.
Synthesize all of the data coming from various sources into a common format or standard for the target environment. Remove duplicates and merge multiple systems into a single view to create accurate data that can be trusted.
Take advantage of the Health Summary by Data Rules report, which also shows rules not linked to information governance to support the enablement of data rules for exception management.
Transition into a private or public cloud with flexible deployment options and subscription pricing. You can extend your on-premises capacity or move directly to the cloud. Realize faster time-to-value, reduce administration costs and lower risk subscription pricing.
Use machine learning for an accelerated metadata classification process (auto-tagging) by using column names and data class to assign and suggest terms for a given column.
Cleanse data and monitor data quality in a unified environment.
Provide a rich set of data quality, profiling, cleansing and monitoring capabilities for Hadoop big data storage clusters.
An enterprise data catalog integrated with a governance platform that can help your data citizens to quickly find, curate, categorize, govern, analyze and share business-ready data.
See how IBM has been positioned as a leader in the Magic Quadrant for Data Integration for over a decade.
Learn how the latest release provides the elements to create a trusted analytics foundation for digital transformation.
This global address verification solution is easily integrated and accessed with our in-platform dedicated AV interface.