Why You’re Not Getting Real-Time Visibility Into Continuous Improvement (and What You Can Do About It)
Only 30% of performance improvement initiatives succeed. Explore our top 3 suggestions to manage projects efficiently, consistently and successfully.
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.
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.
Besides Traditional Designs, Definitive Screening Designs can help Process & Product Optimization
Optimize your products and processes with Definitive Screening Designs (DSDs). Learn how to use DSDs in Minitab Statistical Software.
Guest Post: Location Matters – Data Mining Research to Enhance Accuracy, Benefit Future Studies
Research institutions and museums seek to provide the most accurate data possible to record the past and choose where to explore in the future. Modeling the accuracy of data is essential and nailing down geographical locations of specimen samples as exactly as possible is vital to do it effectively.
Guest Post: It’s Tough to Make Predictions, Especially about the Future (even with Machine Learning)
At its core, all Machine Learning algorithms follow a two-part process. First a sequence of increasingly complex functions is fit to part of the data (training data set). Then each model in the sequence is evaluated on how well it performs on the data that was held out (the holdout set).
Guest Post: How quickly and effectively can you drive to a solution?
Deductive logic has been used for millennia to describe the natural world. With the explosion of data availability and machine learning, some suggest inductive reasoning will make deduction obsolete – the end of science. An approach that supports learning and drives toward a solution involves both.
Guest Post: Predictive Analytics Accelerates Problem Solving
Adam Russell, Global Operations Master Black Belt explains how Tate & Lyle deploys Continuous Improvement (CI) tools, including Minitab and Salford Predictive Modeler (SPM), to challenging engineering and manufacturing problems.
7 Ways Statistical Software Can Help Support Professionals
While Black Belts and Master Black Belts know statistics at different levels it's Green Belts who seem to exhibit the most variation in knowledge. Learn more.