Data quality (DQ), which ensures that data is fit for business and consumer needs, remains a significant challenge and is growing more complex. According to a dbt Labs 2024 report, 57% of survey respondents identified data quality as a challenging aspect to data preparation, up from 41% in 2022. To address these data quality challenges, companies increasingly […]
The post Data Product vs. Data as a Product (DaaP): Understanding the Difference appeared first on DATAVERSITY.
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Author: Michelle Knight
