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.

To ensure enterprises can fully trust the data fueling their analytics and AI deployments, Anomalo has defined the Six Pillars of Data Quality: ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Data quality in the modern economy, where data-driving action is critical to business ...