All too often the topic of fixing dirty data is neglected in the plethora of online media covering artificial intelligence (AI), data science, and analytics. This is wrong for many reasons.
Do you ever feel like you’re spending money like crazy on marketing and getting little or nothing in return? If so, you might be tempted to pull the plug on marketing altogether. That would be a big mistake.
"Establishing a timeline" Credit: WRme2
Most of the world’s data are obtained as byproducts of operations. These observational data track what happens over time and have a structure that requires a different approach to analysis than that used for experimental data.
I’m a chemical engineer. The fundamentals of the chemical engineering profession were laid down 150 years ago by Osborne Reynolds.
In the 1950s, Eizaburo Nishibori, a member of JUSE, and Sigeiti Moriguti of Tokyo University invited W. Edwards Deming to lecture on statistical methods for business in a session sponsored by the Keidanren, the most prestigious society of Japanese executives, under the leadership of its chairman, Ichiro Ishikawa (also president of JUSE).
Credit: The Deming Institute
Editor’s note: The following is from a transcript of a forgotten speech given in Tokyo in 1978 by W. Edwards Deming for the Union of Japanese Scientists and Engineers (JUSE). Because the original was a poor photocopy, there are small portions of text that could not be transcribed.
"Gauges Are A Good Thing" Credit: Adem Rudin
Part one of this article showed that it is possible, by means of a Visual Basic for Applications program in Microsoft Excel, to calculate the fraction of in-sp
IATF 16949:2016 clause 7.1.5.1.1 requires measurement systems analysis (MSA) to quantify gage and instrument variation. The deliverables of the generally accepted procedure are the repeatability or equipment variation, and the reproducibility or appraiser variation.
Health-tracking devices and apps are becoming part of everyday life.
The first part of this series introduced measurement systems analysis for attribute data, or attribute agreement analysis.