News Summary

• Data risk tends to concentrate in three areas, and most organizations are exposed in all of them simultaneously.
• Inaccurate data leading to bad decisions is the oldest problem in analytics, and it hasn’t gone away.
• As organizations add more tools, more dashboards, and more AI-powered applications, the surface area for error expands.
• An ungoverned metric that’s defined inconsistently is a ticking clock.
• The traditional response to data risk has been to throw structure at it.