When Data Disappears: solving a key quality issue


When we think of data quality, the first issues that come to mind are visible problems like duplicate rows, NULL values or corrupted records. But in fact the most common data quality issue is that data has simply disappeared.
In this post we will describe how data disappears, what the common causes are and what data teams can do to identify these issues.

Most data testing done today attempts to validate the quality of the data that exists. But...how do you test for errors that cause data to disappear altogether?

This post is a bit more product marketing than I generally prefer to link to, but I find its premise quite compelling and it absolutely delivers.


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