2. How do you measure data quality?

2.1 Identify sources of problems

Measuring data quality can help to identify the precise origin of data quality problems and assess their importance in terms of impact, and subsequently define priorities and a targeted, calibrated action plan. Typically, we don't want to/cannot correct all errors, as this can be very costly, especially as not all data quality problems are of the same importance.

As shown in table 2 , the causes of data quality problems vary widely, depending on the stage of data processing under consideration. Eliminating data quality problems at source should ideally be done at every stage in the implementation of a data-centric solution: from the very first specifications of an...