You know from the adjective that it's probably not good, but what exactly is "dirty data"?
Dirty data comes at a cost to companies; but, if you're not a data scientist, how do you even diagnose that you have a problem?
The infographic outlines how the less tech-savvy among us can diagnose dirty data (and avoid it) across six areas.
Get started with cleaning up your data with this infographic. Just click or tap to view a larger version:
Laura Forer is a freelance writer, email and content strategist, and crossword puzzle enthusiast. She's an assistant editor at MarketingProfs, where she manages infographic submissions, among other things.