“Garbage In, Garbage out…” or so the saying goes ...
The concept asserts that the quality of the information coming out cannot be better than the quality of the information going in. This saying is used in data science and manufacturing and often when talking about product data, like in this article, or this one.
Today, we are here to bust that myth as it pertains to product data and eCommerce. With the right tools in place, you can put garbage product data in and output high-quality product data, ready for eCommerce.