Tackling Bad Data: How Poor Data Quality Impacts Your B2B Bottom Line
Zoominfo
MARCH 24, 2021
In simplest terms, poor data quality is bits of inaccurate information. For businesses, that bad data can negatively affect revenue growth. Examples of poor data include: Missing contact fields Inaccuracies due to outdated information (e.g., Transparent churn: unsubscribes, hard bounces, and spam complaints.
Let's personalize your content