The most important issue in organizational data quality is whether you have the data you need to test whether your beliefs about the organization are really true. So if I believe my organization has a reliable backoffice in terms of transactions, do I have the data that show how many errors are made a day or a month for a given volume of transactions.? Counts tell us almost nothing; we need rates, like errors/daily volume. If I am relying on my impressions, I am talking to myself.