Confusing What’s Urgent with What’s Important
Recently an acquaintance summed up data governance as “trying to do what is important, while be sidetracked by what is urgent.” To me this was an interesting observation, because it sums up a paradox associated with data governance. Resolving urgent data quality issues uses so many resources, there are often none left to implement the data governance processes that would resolve the root cause of data quality issues.