This paper examines the nature, cause and impact of data quality problems in typical IT system implementations.  It argues that the extent and impact of poor data quality is largely misunderstood and often ignored. 

It is proposed that the problem of poor data quality is primarily a behavioral problem, not a technological problem.  This paper provides an approach for improving data quality through clear accountability for the prevention, detection and correction of data problems.