CHAPTER THREE
Assessing and Improving Data Quality
No one gets up in the morning and says, âIâm going to make lots of data errors today.â Nor does any department head tell her people, âItâs okay to make errors, just as long as we meet our quotasâ or âI know you havenât been trained properly, but donât worry about the data. Theyâre just for marketing anyway.â The problems would be much easier to solve if they were founded in malfeasance. Or ineptitude. Or computer systems that werenât up to the task. I havenât found any of these to be the case. Instead, I find that a broad and complicated mix of social, cultural, and political issues conspires to make data quality such a tough issue.
This chapter is designed to help ...
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