Thu, 17 March 2016
Frony Ward, Managing and Founding Partner of Pinnacle Partners, Inc. – Beware, Not All Polls Are The Same
This week's Podcast, continues our "Knowledge in Variation Series" with Dr. Frony Ward, Managing and Founding Partner of Pinnacle Partners, Inc.
In this podcast, Frony discusses online surveys and polls. She starts by sharing the fundamental piece of every single survey. From there she delves into elections polls, and why so many election polls show different results. Lastly, she discusses two or three good things you can do to help yourself understand a poll.
Fri, 8 January 2016
Frony Ward, Managing and Founding Partner of Pinnacle Partners, Inc. – Process Behavior Charts are the "Secret Sauce" to Seeing the World
This week's podcast, continues our "Knowledge in Variation Series" with Dr. Frony Ward, Managing and Founding Partner of Pinnacle Partners, Inc. Frony discusses the importance of Statistical Process Control (SPC) in all parts of an organization and why it's a barrier to many.
Frony was first introduced to SPC (Statistical Process Control) when she was teaching at the University of Tennessee. An opportunity arose to be a part of an institute surrounding statistical process control and she jumped in with both feet, deepening her knowledge of Deming. The institute became a place for people to continue learning after Dr. Deming's 4-Day Seminar. Frony spent the remainder of her time at U of T working with automotive facilities that wanted to study variation and use SPC.
Frony had an opportunity to meet Dr. Deming in 1982 and he completely turned her thinking upside down, especially around Acceptance Sampling Plans. Deming's theory was that the percentage of defective units in the rest of the lot is independent of the percentage of defective units in your sample. Her mind was blown when she went back and proved this herself.
When Frony first learned SPC, it was totally new to her. At first she didn't realize the impact of knowing common cause and special cause variation. After a number of engagements it became obvious that SPC was "the name of the game". At all levels of the organization, from the inspection level to the management level, she could see instantly what was going on by using SPC. It was a powerful tool to "highlight" what people needed to know to make decision and help improve.
Frony finds it fascinating and frustrating that many organizations are aware of SPC but don't use it. She feels that for some reason, finance systems can compromise improvement. Organizations just don't understand that the process behavior chart is the "secret sauce" to seeing their organization.
Thu, 3 December 2015
Lynda Finn, President of Statistical Insight, LLC and facilitator for The Deming Institute – A Picture Is Worth A Thousand Data Points.
This week's podcast features the first episode of our "Knowledge In Variation Series" with Lynda Finn, President of Statistical Insight, LLC and facilitator of The Deming Institute's 2.5 Day Seminar. Lynda discusses the importance of moving from spreadsheets to plotting data, and the common mistakes that organizations make if they aren't charting their data.
Lynda's Deming journey began when, shortly out of graduate school, she met Dr. Deming at one of his public seminars. From that point she has been helping spread his ideas through her own consulting company and her work with The Deming Institute.
She starts by sharing some of the hardest things for people to grasp about the Deming philosophy. Though it varies, Lynda finds it's most difficult when Deming's ideas don't align with the practices people feel have contributed their success.
The episode centers on why organizations should be plotting their data on charts rather than just using spreadsheets. She feels that if the number is important enough to have on a table, then it should be important enough to see it in its proper context.
Lynda outlines the mistakes people make if they aren't charting their data, starting with not caring enough to see what the data is telling them. The most important reason for charting data is so that everyone sees the same thing and can come to a common conclusion about what's happening and how to improve. How can you "see" what the data's telling you if you don't make a picture of it?