How much Data Quality is good enough?
As a software tester, I have seen businesses grip matching quality with budgeted time and money. Of course, everyone wants 100% but can every possible data input be considered and every business contingency is predicted? A developer friend of mine can see managers, other developers, and business analysts get stuck in the trees of Data Quality, focusing on minutia.
Based on experience, requirements, as guided by Data Governance, reproducibility and risk coverage seem to be fundamentals gaging good enough Data Quality to minimize data challenge and give a green light to Data Quality.
What do you think?