The W. Edwards Deming Institute Blog

Archive for the ‘data’ Category

Stratify Data to Hone in on Special Causes of Problems

We have a tendency to focus on special causes even when poor results are due to common causes within the system. To improve results that are due to the system trying to determine the specific problem with any bad result and fix that problem is an inefficient strategy. But there are times when seeking the […]

Eric Budd Presentation on Data and Operational Definitions

Eric Budd’s presentation at the 2016 Annual Deming Institute Conference: An Exercise in Operational Definition. The exercise Eric uses in the presentation shows how much variation can show up in data – just from how the data is collected. And in this example the data even has an operational definition used in collecting the data. […]

Applying Understanding of Variation to Large Datasets

Understanding Variation by Thomas Nolan, Rocco J. Perla and Lloyd Provost. There have been large changes in the use of data since the publication of Understanding Variation, by Thomas Nolan and Lloyd Provost. The new article discusses how to use an understanding of variation when working with large datasets (for example, government data). From the […]

Understanding Data is Often Challenging

Using data to understand the system and validate our theories and successful improvements is an important part managing well. In some cases it is fairly easy to understand and collect data that provides a clear and accurate measure of what we care about. But getting data that helps can also be very challenging. Creating a […]

Using Outdated Management Practices Can Be Very Costly

Readers of this blog are aware of the problems created by using quotas: Achieved the goal by not the aim (2013) – The Futility of a Numerical Goal (2014), Distorting the System, Distorting the Data or Improving the System (2013), Dr. Deming on the problems with targets or goals. Wells Fargo to pay $150 million-plus […]

Deming Regression

Most of Dr. Deming’s management work requires no understanding of advanced statistical methods. He was also a statistician and this post takes a look at one of his contributions to the field of statistics: the Deming Regression. In his book, Statistical Adjustment of Data (1943), W. Edwards Deming discussed, among other things, various methods to […]

The Real Lessons of the Red Bead Factory

The video shows a recorded webinar for the Healthcare Value Network by Mark Graban and Mike Stoecklein. In the video they explore the real lessons of Dr. Deming’s famous red bead factory demonstration and the principle of understanding and managing variation. Mark mentions how Bill Boller, with Hewlett-Packard, created the red bead experiment as a […]