Health systems are entering an era of intelligent data management where real-time validation, data quality scoring and robust ...

Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of ...

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 ...

Modern analytics pipelines often follow the medallion architecture, which organizes data into Bronze (raw), Silver (cleansed) and Gold (curated) layers. The idea is that each stage should refine the ...

In 2025, enterprises are leveraging AI capabilities to enhance data management. Just like 2023, 2024 was a dynamic year for enterprise data management, and 2025 is shaping up to bring even more change ...

Alation Inc., the data intelligence company, is announcing the launch of its Agentic Platform—a solution that empowers data teams with AI-driven automation—and with it, three additional new ...

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’s no secret that the healthcare industry is trending more and more toward hospital-physician alignment for many reasons. Hospitals are increasingly looking to align with physicians or physician ...