Poor data quality can have a major impact on the services of organizations. Data can be wrong, incomplete, multiple versions, inconsistent, etc. According to Gartner, this costs companies many millions of Euros. Examples are retail organizations that cannot deliver the right product, schools that have to manually adjust their data from multiple systems, etc. Due to growth, attention for data quality has increased enormously, and there are many tools that help to provide insight into this quality. However, these tools do not solve the quality aspect of the problem, we help you with that!