"Dirty data"—data that has issues such as being incorrect or incomplete—can slow down operations, waste resources, and drive bad decisions.
The solution to the problem is data cleansing, which is the process of inspecting, validating, and fixing data sets.
An infographic (below) from Association Analytics covers the basics of data cleansing.
It looks at the dangers of dirty data, the different types of dirty data, and the steps you should take to clean your data.
Check out the infographic:
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Data Cleansing 101: What Marketers Need to Know [Infographic]
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ABOUT THE AUTHOR
Ayaz Nanji is a writer, editor, and a content strategist. He is a co-founder of ICW Media and a research writer for MarketingProfs. He has worked for Google/YouTube, the Travel Channel, and the New York Times.
LinkedIn: Ayaz Nanji
Twitter: @ayaznanji
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