In data analytics better than half the time in the project effort may be spent on data acquisition and preparation.  Capturing meaningful and accurate manufacturing metrics for driving data analytics can be very difficult.  But when there is a high level of uncertainty about a measurement, we need to consider how much accuracy we truly need to obtain meaningful insights from our analytics.   The true goal of any measurement is not perfection but to reduce uncertainty.

The podcast crew of the MESA Analytics Working Group is joined by guest Kip R. Krumwiede to discuss how to approach measurements that provide what we need to satisfy our analytic end goals.