Too often, data quality is seen as a strictly technical issue. Data quality problems must be identified, assessed and then rectified, and that process is best managed by experts using the right tools.

But communication may be the most important element in a data quality program. A data quality program can only succeed if all the stakeholders understand the data quality program and play their role properly in executing it.