Recently I wrote about the question of the human role in the Fourth Industrial Revolution. In this article, I want to address another common question: How important is data accuracy in a highly digitalized manufacturing enterprise? Can the Fourth Industrial Revolution work if data is not 100% accurate?
Obviously, low data quality is a serious problem in a highly automated environment. But that does not mean that data must be 100% accurate for the system to function. After all, today’s enterprises have nowhere near complete data accuracy, but they still manage to plan, execute, and produce products that generate a profit.
