In his recent Harvard Business Review blog post “Break the Bad Data Habit,” Tom Redman cautioned against correcting data quality issues without providing feedback to where the data originated.

“At a minimum,” Redman explained, “others using the erred data may not spot the error. There is no telling where it might turn up or who might be victimized.” And correcting bad data without providing feedback to its source also denies the organization an opportunity to get to the bottom of the problem.

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