Problems linked to the use of poor-quality data:

1) poor project, cost, and schedule estimation
2) poor project, cost, and schedule tracking
3) inappropriate staffing levels
4) flawed product architecture and design decisions
5) ineffective and inefficient testing
6) fielding of low quality products
7) ineffective process change.

Link to External Resource: Can You Trust Your Data? Establishing the Need for a Measurement and Analysis Infrastructure Diagnostic

Source: Mark Kasunic, James McCurley, and David Zubrow, Carnegie Mellon

See more Resources like this one in this Data Quality Resource Guide Section: Data Quality Costs & Benefits