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.

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 ...

As organizations look to adopt the new wave of coming technologies, like automation, artificial intelligence and the Internet of Things, their success in doing so and their ability to differentiate ...

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 ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

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 ...