Third Clone: Do's And Don't's (clone)

an@panoply.io (An Bui) — Thu, 06 Sep 2018 06:41:50 GMT

Anybody who hangs out in IT or data science circles will invariably become familiar with the acronym GIGO. GIGO stands for “garbage in, garbage out” (or “good in, good out,” depending on who you ask). But semantics aside, it’s a really good reminder about how data quality - including its collection and distribution - can have a noticeable impact on your analytics. So let’s look at a couple areas where engineers and analysts run into GIGO pitfalls - and how we can avoid them.

Testing Blog

Third Clone: Do's And Don't's (clone)