Case Study: Manufacturer uses production data to overhaul quality on a global scale
End-of-line testing is costly and unreliable. What’s more, it doesn’t generate sufficient data to support advanced analytics. For one leading automotive OEM, a reliance on EoL meant that they weren’t fully realizing the data-driven potential of a connected Industry 4.0 environment. When this customer decided to take a harder look at standardizing quality across its international brands, it intensified testing beyond EoL and, in the process, unleashed a torrent of data that, once properly managed, made improvements they could only have hoped for. Read the case study to learn more.