You know from the adjective that it's probably not good, but what exactly is "dirty data"?
Simply put, it's data that has errors or mistakes, or it's incomplete in some way. And 30% of marketing and sales data is totally unusable, according to an infographic released by Umbel.
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:
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Laura Forer is the manager of MarketingProfs: Made to Order, Original Content Services, which helps clients generate leads, drive site traffic, and build their brands through useful, well-designed content.
LinkedIn: Laura Forer