Trusting Too Much in Data, Part 2
In part one, we looked at the importance of understanding findings in order to make better decisions.
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In part one, we looked at the importance of understanding findings in order to make better decisions.
They spanned 140 degrees of latitude—from Canada to Chile—and varied widely in age and experience. But their goal was the same: To improve their metrological capabilities for the benefit of their home countries and the Western Hemisphere.
The constant rapid changes in today’s business climate demands on-the-fly gear shifting for teams and business units. Few can afford to wait until next year’s three-day strategic off-site meeting, a model fast becoming a relic of more halcyon days.
Metrologists are often faced with measurement processes that are repetitive and time-consuming. It’s not uncommon for a set of measurements to be taken repeatedly under different conditions and with different materials to maintain quality control.
Recently, I’ve run into posts, articles, and discussions concerning findings that employee morale doesn’t equate to productivity. They are an excellent example of how easily we can mislead ourselves with data.
An engineering manager who I worked with 25 years ago challenged me one day. “You know, Bruce, if all employees were engineers, you wouldn’t need mistake-proofing,” he said. At the time, I was too stunned by his comment to even respond.
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