4 Ways to Identify Low Data Quality

Posted by Kevin De Meu on 28/03/2019

In today's data-driven world, data is for many businesses as essential as the blood in our veins. Companies store a lot of data in all types of systems. Storing data is important, but storing low quality data makes it a useless effort. When we look at optimization packages, data is THE most important factor. Using data with low quality, equals non-usable outcomes of the optimization. Garbage in is garbage out. So, detecting that garbage and turning it into a valuable asset is an necessary first step. Data cleaning is a process that might require too much time but as experience grows, you get to know the quick sanity-checks that will often save a lot of time. Below we list some validations, ranging from 1-minute scans to deep analysis simulations.

Read More