Trimming Decision Trees to Make Paper: Predictive Analytics and Root Cause Analysis in Minitab
As we collect more and more observational data from our processes, we may need new tools to provide meaningful insights into this information. You can add modern-day machine learning techniques alongside traditional statistical tools to analyze, improve and control your processes.
To Insights and Beyond: The 5 Key Challenges & Learnings You Need to Know from 2019 Minitab Insights Conference
Didn't attend 2019 Minitab Insights? Don't worry - we've rounded up the 5 key challenges and learnings you need to know about.
Want to Learn How to Create Good Wine? Let's Pour Over the Details
Learn how to create consistently good wine by pouring over the details with the use of statistical quality control in Minitab's blog.
Using Variability Charts to Analyze Causes of Wait Times at Financial Services Call Centers
Take a look at a very simple graphical tool in Minitab that is very intuitive and doesn't require any prior statistical knowledge: the Multi-Vari Chart.
What Makes A Good Wine? Using Statistical Regression to Model The Taste of Wine
Discover how wine-tasting data and multivariate analysis can be used to develop an understanding of your customers’ different tastes and behaviour.
5 Takeaways from Rolls-Royce's Master Black Belt interview on data-driven Process Excellence
How the Central Process Excellence team facilitates improvement at Rolls-Royce: skillset, methods, tools and capabilities by Colin Noone, Master Black Belt
Guest Post: Pruning Your Hypothesis Testing Decision Tree
Joel Smith is the Director of Rapid Continuous Improvement at Keurig Dr. Pepper as well as the co-author of the Applied Statistics Manual. He will be hosting a panel on Leading Successful Data Analysis at the 2019 Minitab Insights Conference.
Critical Checks for Pharmaceuticals and Healthcare: Validating Your Data Integrity and Process Performance
When regulators in pharmaceutical & healthcare ask you to validate analytical techniques, measurement systems ('Data Integrity') and process performance ('SPC'), Minitab recommends these critical checks.
Using Intervals to Get at the Tail Ends of the Problem in Healthcare and Medical Devices
Demonstrating process improvement often involves showing improvement in the mean, so we focus on the center of a distribution. Defects don’t fall in the center, though. They're in the tails.
When It’s Easier to Open Data in Minitab than in Excel
Find out how Minitab makes it easy to work with data in formats like txt, dat, and csv so that you don’t have to use more than one program.