Bad Data is duplicated, outdated, incorrect, or incomplete information that resides in multiple IT systems across a company’s data center. IBM estimated the yearly cost of poor quality data, in the US alone, was $3.1 trillion in 2016. The reason bad data costs so much is that decision makers, managers, knowledge workers and others must accommodate it in their everyday work. And doing so is both time-consuming and expensive. The data they need has plenty of errors, and in the face of a critical deadline, many individuals simply make corrections themselves to complete the task at hand.
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