Sometimes it's hard to explain what a Fuzzy match is, so here is an example. Anyone who is trying to compare data in Excel, for example, is almost always limited to exact matches. In other words. Doug must equal Doug and Doug will not equal Douglas. But fuzzy matches are different. See below. CrushErrors.com will correctly match Tom with Thomas and Dave with David. But that's not really enough. It's ok if you only have 4 rows as shown below. But what if you had 1000 rows. You need to see which matches make sense. Because it's fuzzy, it almost means that it's sometimes wrong. So there is a score (see orange arrow belowthat indicates how close the match is. Tom and Thomas are more different than Ben and Benny.
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