The Basics and Principles of Continuous Improvement (APAC_Continuous Improvement)
Uncover the basics of continuous improvement, four stages, and the principles to help you ensure successful CI implementation across your organization.
Cut Costs Without Impacting Patient Care for a Healthier Bottom Line (Clone)
Explore the five continuous improvement strategies for healthcare providers to reduce costs without impacting patient care.
HS SUPPORT TEST CLONE Branching Out: Using CART For Alternative Ways to Analyze Categorical Survey Data (Clone)
Take advantage of CART Classification to analyzing categorical survey data in the latest version of in Minitab Statistical Software. Open to discover how.
A Better, Faster and Easier Solution for Data Analysis (Clone)
Minitab helps to harness the power of data with our release of Minitab 19, which assists users to make better, faster and easier data-driven decisions.
3 Essential Lean Tools to Improve Your Process (APAC_Continuous Improvement)
Lean tools can help you eliminate waste and prevent mistakes. Learn how A3, Work Element Time Study & Gemba Walk can improve your organization's process.
Fast and Safe Reopening and Recovery Using Evidence-Based Project Management and Compliance Standards
The COVID-19 pandemic has created a disastrous situation in our country without precedent-at least for our current generation of citizens and leaders. The
Concluding Our Golf DOE: Time to Quantify, Understand and Optimize (Insights America 2019)
Last week on The Minitab Blog, we used Minitab Statistical Software to review analysis of covariance (ANCOVA) and blocking variables in our ongoing design of experiment (DOE) on how to get the longest drive in your golf game. Now let’s finish it. We’re ready to review and present our results.
5 Reasons Factorial Experiments Are So Successful (Insights America 2019)
Last week we began an experimental design trying to get at how to drive the golf ball the farthest off the tee by characterizing the process and defining the problem. This week we'll design the data collection plan we’ll use to study the factors in the experiment.