5-Steps towards optimal data quality
Unfortunately, this definition of data quality management does not really offer any suggestions on how to go about it.
That is why we have put together 5 easy-to-understand steps towards optimal data quality.
Step 1. Define the kind of data to be collected and the elements within that data which should be optimized
Step 2. Define rules for each data element and automate the control mechanisms
Step 3. Assign the responsibility for the optimization of a data entity to a single person
Step 4. Automate data validation according to their definition, and keep the results
Step 5. Correct exceptions and adjust their definition if necessary