11 Irritating Data Quality Issues
InformationWeek, Tuesday, August 20th, 2024
Organizations have been trying to improve data quality for more than 30 years, but it's still an issue. In fact, it's more important than ever. Here's a look at common data quality challenges that can drive you mad.
Data quality isn't a new concept, though its importance has continued to grow with big data, analytics and AI. Without good data quality, analytics and AI are not reliable.
'The traditional issues around data quality are still the kind of issues we see today,' says Felix Van de Maele, CEO of data intelligence company Collibra. 'If you think about completeness, accuracy, consistency, validity, uniqueness, and integrity, they're very much the same data quality dimensions that companies struggle with to this day.'