Data quality issues emerge from multiple failure points from development practices to production life cycle, each compounding ...

Traditional data architectures are rigid and siloed, limiting agility, experimentation and the cross-domain insights required ...

COMMISSIONED As enterprises increasingly adopt GenAI-powered AI agents, making high-quality data available for these software assistants will come into sharper focus. This is why it’s more important ...

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.

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 ...

New details from the Bureau of Labor Statistics (BLS) reductions reveal a concerning decline in the quality and integrity of U.S. economic statistics. Cutbacks in Consumer Price Index (CPI) data ...

Every five years, on 20th October since 2010, countries across the world come together to celebrate World Statistics Day, a moment to recognize the vital role of reliable data and quality statistics ...

17 October 2025 - Every five years, World Statistics Day (WSD) is observed on 20 October. Since it was first celebrated in 2010, the Day provides an opportunity to recognize the importance of official ...

What will shape enterprise data in 2026? We look at insights from Bloomberg’s Enterprise Data & Tech Summit in London on themes such as interoperable cloud infrastructure and governed data frameworks.

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 ...

Artificial intelligence (AI) has relied on high-quality language data to train its models, but supply is running low. That depletion is forcing companies to look elsewhere for data sourcing as well as ...

Fab operations have wrestled with big data management issues for decades. Standards help, but only if sufficient attention to detail is taken during collection. Semiconductor wafer manufacturing ...