How do you prevent these issues from occurring? After all, it's not like you didn't have validation checks as part of your standard process.įull data-quality frameworks can be time-consuming and costly to establish. This is a lesson that is very costly to learn the hard way. Taking data quality seriously can be difficult if agility and speed-to-market are the name of the game for your business users. Have you ever had a set of reports that were distributed for years only to have your business users discover that the reports have been wrong all along and consequently lose trust in your data warehouse environment? Gaining trust is the foundation of user adoption and business value of your data management program. Six Validation Techniques to Improve Your Data Qualityīoost the data quality of your data warehouse with six practical techniques.
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