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.
DMAIC vs. DMADV vs. DFSS: A Guide on Six Sigma Terminology
Learn the steps of Six Sigma abbreviations like DMAIC, DMADV and DFSS and how Minitab Engage process improvement software can help track any project using them.
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
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.
Improve Your Production Stability for Competitive Manufacturing with Minitab Engage
Unstable behaviors generate quality problems experienced by customers later on. Use the modern toolkit of Minitab for production stability for competitive manufacturing.