What is data quality?

Data quality enables you to cleanse and manage data, while making it available across your organization. High-quality data enables strategic systems to integrate all related data to provide a complete view of the organization and the interrelationships within it. Data quality is an essential characteristic that determines the reliability of data for making decisions.

Data is a valuable asset that must be managed as it moves through an organization. As information sources are growing more numerous and diverse, and regulatory compliance initiatives more focused, the need to integrate and access information from these disparate sources in consistent, trusted and reusable ways is also becoming critical. 

DataOps ensures that data quality is preserved to meet all your business goals across a business-ready data pipeline. By implementing a data quality solution from IBM, your organization can enhance data integrity to get the most from your information assets. 

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 customers 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Consolidate applications, retire outdated databases and modernize systems.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

How clean is your data (Part1)?

Learn the basics of data quality management. And see how it remains a  journey requiring regular assessment and remediation in order to continue to deliver business value.

Deliver trusted, business-ready data

When departments have different views and versions of customer data, no one can make good decisions. The unified governance and integration approach from IBM helps deliver trusted, business-ready data that can drive better insights at scale.

What's new with IBM InfoSphere® Information Server

Learn how the latest releases provide the elements to create a trusted analytics foundation for digital transformation.



Modernizing information architecture for business-ready data

Ever focused on superior data quality and data governance, David Abayev, Data Quality Architect at Flagstar Bank, describes the strategy used to provide data citizens with the technology and information needed to analyze operational and customer trends and design new solutions.

Related products

IBM InfoSphere Information Server

This advanced, end-to-end data integration platform enables you to cleanse, monitor, transform and deliver trusted data.

IBM InfoSphere Master Data Management

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

IBM Cloud Pak™ for Data

Use this flexible multicloud data platform to integrate all your data, whether on premises or on any cloud, while helping keep it more secure at its source.

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