Big Data and Big Analytics for Product and Process Quality

摘要

Quality is not a difficult concept for manufacturers or their customers to understand. If the customer is 100% satisfied, the manufacturer has achieved the highest level of quality. Of course, this isn't possible all of the time. Even Six Sigma allows room for some error. Quality, then, is something that manufacturers constantly work at, and the most commonly used tool for this work is data. Customers don't see all of the measuring, inputting and analysis that goes into quality assessment - which is good. But for a variety of reasons, access to and analysis of quality-related data tends to be limited internally as well - and that's not good. This research report explains why and describes how to turn this common shortcoming into a competitive advantage with an enterprise-wide analytical solution.