DM Review – BI Briefs: Seven Misconceptions about Data Quality
BI Briefs: Seven Misconceptions about Data Quality
The narrow definition of data quality is that it’s about bad data – data that is missing or incorrect. A broader definition is that data quality is achieved when a business uses data that is comprehensive, consistent, relevant and timely. If you focus only on the narrow data definition you may be lulled into a false security when, in fact, your efforts fall short. We will address several more misconceptions about data quality.