Building an optimal data quality capability
A mature data-driven company not only implements the individual capabilities from the preceding section but also integrates them in a holistic manner, ensuring that data quality is embedded in the organization’s operations and overall culture—a culture where trusted information is valued and expected. This state, where trusted information is the baseline and anything else is rejected, includes the expectation that the quality of the data used in reporting, operations, and analytics is measured, monitored, and reported for all in-scope data elements, assets, and integrations.
What does it mean to be in scope? It does not mean that every single data element, every single report or dashboard, or every single integration is measured, monitored, and reported. That would be just as irrational as measuring, monitoring, or reporting nothing at all (for the opposite reasons). Rather, optimal data quality requires thoughtful, intentional...