The word dirty data refers to information that is inaccurate. Completely removing dirty data from a source is not practical or possible but there are ways around it. Millions of dollars are lost each year due to dirty data. A master data error can have a wide negative impact on business. To improve your data quality, it's useful to know what types of dirty data commonly make their way into enterprise systems.
