In today’s data-driven world, data quality assurance (DQA) is essential for organizations aiming to make informed decisions. High-quality data must be accurate, consistent, and reliable. Traditional ...

Learn the definition of data quality and discover best practices for maintaining accurate and reliable data. Data quality refers to the reliability, accuracy, consistency, and validity of your data.

Kathleen Hurley is the founder of Sage Inc., a tech company that offers SMB businesses infrastructure solutions and next-gen technology. As data becomes everything to everybody, it’s crucial to ...

Unlock AI's true potential with data quality, integrity and governance.

Informatica from Salesforce, a leader in enterprise AI-powered cloud data management, today announced that it has been recognized once again as a Leader in the 2026 Gartner® Magic Quadrant™ for ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

In 2026, data leaders must focus on enhancing data foundations rather than feature expansion. That means prioritizing data quality at the source, strengthening metadata and shared definitions, and ...

REDWOOD CITY, Calif., March 03, 2025 (GLOBE NEWSWIRE) -- Alation Inc., the data intelligence company, today introduced Alation Data Quality (DQ), an AI-native solution that restores trust in data by ...

Organizations struggle with unreliable data, leading to a trust gap between data producers and data consumers, operational risks, and flawed AI models. Moreover, with data volumes exponentially ...