3 Common Data Quality Problems Facing Data Analytics Projects
Follow When I start an analytics project for a new client, I usually get a few laughs when I talk about the need for data cleansing. “We have dirty data? How on earth did we ever survive?” The truth is that the systems we use to record information often are as imperfect as the people who enter the data and maintain the systems and as such are subject to a variety of data quality problems. Before I build the first graph on a new project, I have to put on my archaeologist hat and figure out how consistent and uniform the data sources available to me are, and then fix any mistakes that...
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