What is data quality?

Data quality is an essential characteristic that determines the reliability of data for making decisions. Data quality solutions from IBM help you identify revenue opportunities, meet regulatory compliance requirements and respond to customer issues in a timely manner.

See why IBM is a leader in the Gartner Magic Quadrant for Data Quality Tools


Act on a trusted view

Provide all available and meaningful information about your customer in a trusted view. Accurately target your customers for cross-sell and up-sell opportunities while governing your data.

Accelerate data governance

Enhance data quality, create master views of key entities and manage diverse data across its lifecycle. Thus, reduce time and cost of implementation to maximize ROI from key initiatives.

Modernize systems with consolidation

Consolidate applications, retire outdated databases and modernize systems. Automate business processes for cost savings.

In the spotlight

IBM InfoSphere Information Server for Data Quality

Turn data into trusted information by cleansing and customizing data in near real time. Monitor data quality in a unified environment with advanced data validation rules support.


IBM InfoSphere QualityStage

A foundational component for your data quality and information governance initiatives that helps you create and maintain consistent views of key entities.

IBM BigQuality

BigQuality is a data quality solution that provides a rich set of data profiling, cleansing and monitoring capabilities that execute on the data nodes of a Hadoop cluster.

IBM InfoSphere Information Analyzer

Provides data quality assessment, data quality monitoring and data rule design and analysis capabilities.

Related products

IBM InfoSphere Information Governance Catalog

Apply a standardized approach to discovering your IT assets and define a common business language.

IBM InfoSphere Information Server

Helps create and maintain trusted information to support strategic business initiatives including big data, point-of-impact analytics, master data management, and application consolidation and migration.

IBM InfoSphere Master Data Management

Manages master data for single or multiple domains including customers, suppliers, products, accounts and more.

IBM InfoSphere Data Replication

Comprehensive replication that is flexible, scalable and secure across heterogeneous data stores.

IBM InfoSphere Optim

Manage data from requirements through retirement to improve business agility while reducing costs.


Getting started with a data quality program

With InfoSphere Information Server, organizations have the flexibility to address initial data quality problems and ensure that data quality is maintained over time.

IBM InfoSphere Information Server for Data Quality

Understand data and its relationships, analyze and monitor its quality continuously while cleansing and matching it to ensure quality and consistency.

IBM BigIntegrate and BigQuality

Enable your organization to integrate and transform any data with Hadoop, leveraging both existing and new data sources for big data initiatives.

Gartner Magic Quadrant for Data Quality Tools

See how IBM has been positioned as a leader in the Gartner Magic Quadrant for Data Quality.

Customer success

Blue Cross Blue Shield of Tennessee (BCBS)

BCBS turned to IBM to profile, analyze, cleanse and standardize their big data more quickly than before.

ANZ Bank

ANZ Bank has implemented IBM InfoSphere solutions to achieve a deeper understanding of customers, to drive innovation and to stay ahead of competitors.

Teachers Insurance and Annuity Association

TIAA CREF leveraged IBM solutions to improve plan reporting, customer view and processing speed by almost 10 times.