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 ...

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

Increasingly more corporate boards and executives understand the importance of data for improved business performance. However, the majority of the data in enterprises is of poor quality. According to ...

Quality data is the cornerstone of good business decisions. To ensure your data is high quality, it must first be measured. Organizations struggle to maintain good data quality, especially as ...

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 quality has risen up the market research industry agenda in recent years. Melanie Courtright outlines the importance of data quality to insight. In the dynamic landscape of market research, where ...

Poor data quality is enemy number one to the widespread, profitable use of machine learning. While the caustic observation, “garbage-in, garbage-out” has plagued analytics and decision-making for ...