Investigate, cleanse and manage data to gain more value from your information assets
Overview
Rich capabilities to create and monitor data quality
IBM InfoSphere® QualityStage® supports data quality and information governance initiatives by investigating, cleansing and managing data. Maintain consistent views of customers, vendors, locations and products, and deliver trusted data across projects.
Features
Capabilities for trusted data
- Data profiling
- Quality rules
- Data classes
- Record matching
- Governance
- Deployment
Deep data profiling
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.
More than 200 built-in data quality rules
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.
More than 250 built-in data classes
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.
Data standardization and record matching
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.
Built-in governance
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.
On-premises or cloud deployment
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 cases
Improve trust and governance across data
Build trusted, governed data for analytics, modernization and business operations. Support data lakes, improve data quality, strengthen governance, automate metadata processes and streamline data integration across the enterprise.
Help data teams embed integration, quality and availability into data lakes so users can explore data faster, uncover insights and support trusted analytics.
Help organizations offload EDW data and ETL workloads to Apache Hadoop data lakes, reducing legacy platform dependence and supporting modernization goals.
Help teams profile, standardize, match and enrich data to improve accuracy and consistency for analytics, migration and master data initiatives.
Help organizations manage integration and data quality within a single platform, simplifying workflows and supporting consistent information delivery.
Help teams apply information governance policies across departments, improving collaboration, accountability and confidence in business data.
Help data stewards use machine learning to auto-tag metadata, classify columns and assign business terms faster, reducing manual effort.
Resources
Discover expert resources
Browse report, support and support documentation to deepen your understanding of IBM InfoSphere QualityStage and support informed decision-making.
Flexibly meet your unique requirements—from data integration to data quality and governance