Poor-quality data affects all data-related projects and refers to the state of completeness, validity, consistency, timeliness and accuracy that makes data appropriate for a specific use.
This Technical White Paper presents the main challenges of data quality and drills into specific uses of data profiling and data cleansing. It highlights, through 32 distinct use cases, how open source data quality technology can be used to alleviate issues related to poor-quality data.
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