What is the mentality of your data quality team? Are they passive, reactive, or proactive? Are they building a fragile data quality pipeline, or are they building it to be antifragile?
The term big data is thrown around a lot these days, but one of the main areas where this term truly applies is large industrial units (manufacturing facilities, refineries, vehicle assembly plants etc.). With the advent of digital technologies and advanced sensors, the amount of data being collected every day is astounding. This poses several challenges: these datasets are prone to numerous errors and issues.