Strong data quality checks reduce bias, drift and inconsistencies that can distort analytics and AI outcomes before datasets reach production.

It can be tough to manage data manually, and doing so can sometimes lead to errors or inefficiencies. Spreadsheets can get overly complex, and data quality can suffer. This has become a large enough ...

What does a data quality manager do? Your email has been sent A data quality manager is responsible for assessing, managing and maintaining data quality across an organization. This can include ...

Data is the foundation of innovation, agility and competitive advantage in today’s digital economy. As technology and business leaders, your strategic initiatives, from AI-powered decision-making to ...

In this episode of Need to Know, our series covering the topics and issues influencing markets and the global conversation, Michael Beal, Co-Head of Enterprise Data Science at Bloomberg, discusses the ...

Data governance, data integrity, and data quality are all widely used terms, but what do they actually mean and how are they connected? Nomenclature is important. Data governance, data integrity, and ...